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55 Commits
Author SHA1 Message Date
Peter KirkhamandGitHub 0f8b10bb09 feat(ai): add error handling to python ai sdk (#174) 2025-01-24 21:09:49 +00:00
Georgiy TarasovandGitHub 45dc933b9c fix(llm-observability): parallel traces (#172)
* fix: parallel traces

* fix: linters

* chore: bump

* fix: better naming for clarity
2025-01-23 17:27:46 +01:00
Michael Matloka 2835af49cb fix: Actually fix LangChain callback in posthoganalytics 2025-01-22 16:27:36 +01:00
Michael MatlokaandGitHub 54506e5a7c fix: Account for import posthog in posthoganalytics release (#171) 2025-01-22 13:50:39 +00:00
Peter KirkhamandGitHub bcf5b27083 chore: bump (#170) 2025-01-21 23:33:47 +00:00
Michael MatlokaandGitHub 0b6ff2e8d3 feat(llm-observability): LangChain tracing, with LangGraph tests (#169) 2025-01-21 23:18:55 +00:00
80f0b3e52e fix(llm-observability): capture system prompt for anthropic (#167)
Co-authored-by: Peter Kirkham <peter@posthog.com>
2025-01-17 21:04:37 +00:00
d1e22188ec Feat: Add Anthropic to Python SDK (#165)
Co-authored-by: Georgiy Tarasov <gtarasov.work@gmail.com>
2025-01-17 20:33:48 +00:00
Georgiy TarasovandGitHub 9b423495ed fix(llm-observability): flatten langchain's additional_kwargs (#166)
* fix: flatten additional_kwargs

* fix: remove print
2025-01-17 17:59:38 +01:00
Peter KirkhamandGitHub 7870ccd3d8 feat: privacy_mode (#164) 2025-01-15 01:28:52 +00:00
Georgiy TarasovandGitHub 190c628c7a feat(llm-observability): add new packages for posthoganalytics (#163) 2025-01-14 10:50:46 +01:00
Georgiy TarasovandGitHub 78ab0ca8b5 fix(llm-observability): include the ai packages (#162)
* fix: setuptools

* fix: include packages
2025-01-14 10:27:05 +01:00
Peter KirkhamandGitHub c5bfc1377a fix: update to export module (#161) 2025-01-14 01:25:00 +00:00
Peter KirkhamandGitHub 6b1c0dc313 feat: Embeddings + Personless events + Destructure property JSON (#160) 2025-01-14 00:35:09 +00:00
Georgiy TarasovandGitHub e51b883e7b feat(llm-observability): add langchain integration (#159)
* feat(ai): LangChain integration v0.1

* test: langchain integration tests

* test: langchain-openai for v2 and v3

* chore: reorganize imports

* fix: ci

* fix: set python on ci to 3.9

* fix: upgrade ci for python 3.9

* fix: fallback for distinct_id

* fix: personless events for omitted distinct_ids

* fix: review comments

* feat: base url retrieval
2025-01-13 18:40:02 +01:00
66101c92bf Feat: Add llm observability to python sdk (#158)
Co-authored-by: Michael Matloka <michael@matloka.com>
2025-01-11 01:34:27 +00:00
Sibin M SandGitHub 05932b3f13 [FEATURE]Add distinct_id to group_identify (#155)
* [FEATURE]Add distinct_id to group_identify

* [TESTS]Updated test cases for adding distinct_id to group_identify

* [LINT-FIX]client.py and test_client.py

* [CHORE]Verion bump and changelog update
2025-01-03 16:00:35 -05:00
Dylan MartinandGitHub 50c13563b2 fix: CI (#156)
* test CI

* heck it, upgrade python

* okay don't do anything silly with the cache hits i guess

* more CI upgrades :crossedfingers

* upgrade all CI to latest versions, then

* jk this is how python works

* whackamole

* what even

* yeesh

* this can't be it

* if this breaks ill kms

* dark magic dark MAGIC

* im giving up on my dreams
2025-01-03 15:50:21 -05:00
Dylan MartinandGitHub dca4af66ae Update CODEOWNERS (#154) 2025-01-02 12:52:51 -05:00
Dylan MartinandGitHub 9e1bb8c58a fix(flags): bump the version (#148) 2024-11-27 17:15:38 -05:00
fb57de2e12 fix(flags): correctly emit feature flag events with the FF response on get_feature_flag_payload calls (#143)
* this is the fix, needs tests

* fix test

* tests

* yeah

* please work

* ran the formatter

* code review feedback

* how'd this get here

* bump version add changelog

* Update CHANGELOG.md

Co-authored-by: David Newell <d.newell1@outlook.com>

---------

Co-authored-by: David Newell <d.newell1@outlook.com>
2024-11-25 14:51:06 -05:00
db565bc0fd fix(err): fix distinct_id, set personless and use a uuid (#144)
Co-authored-by: David Newell <david@posthog.com>
2024-11-25 12:09:57 +00:00
David NewellandGitHub 8ae3f2b623 chore: add type to stack (#142) 2024-11-19 12:46:52 +00:00
David NewellandGitHub 39f72a0070 chore: add lang to frames (#139) 2024-10-24 16:18:02 +01:00
David NewellandGitHub ee0305993d feat: add super properties (#138) 2024-10-03 17:07:47 +01:00
28c4802d9b Remove deprecated datetime.utcnow() in favour of datetime.now(tz=tzutc()) (#124)
Co-authored-by: Neil Kakkar <neilkakkar@gmail.com>
2024-09-24 11:09:15 +01:00
Neil KakkarandGitHub 67a343f242 fix(errors): Make sure project root exists to judge in app frames (#136)
* fix(errors): Make sure project root exists to judge in app frames

* prep release
2024-09-16 11:11:28 +01:00
Neil KakkarandGitHub 1521621d66 fix: Update Django integration for manual capture (#135) 2024-09-10 09:27:47 +01:00
Neil KakkarandGitHub 39070babfb feat(errors): Add manual exception capture (#134)
* feat(errors): Add manual exception capture

* prep release

* use backwards compatible helper

* add tests
2024-09-09 11:40:51 +01:00
Neil KakkarandGitHub 716eab0bc2 fix(setup): Make sure all packages are bundled (#133)
* fix(setup): Make sure all packages are bundled

* prep release

* black
2024-09-03 08:13:10 +01:00
Neil KakkarandGitHub 1c0a61d6b5 fix(setup): Make sure all packages are bundled (#132)
* fix(setup): Make sure all packages are bundled

* prep release
2024-09-03 07:23:54 +01:00
Neil KakkarandGitHub ffa35fa5cd feat(errors): Add django integration and in app frames (#131) 2024-09-03 06:10:36 +01:00
Neil KakkarandGitHub 24b7b918f7 feat(error-capture): Add basic exception autocapture (#128) 2024-08-28 06:59:41 +01:00
Phani RajandGitHub 16cbd10f1b bump version to 3.5.2 (#130) 2024-08-21 11:58:02 -05:00
Phani RajandGitHub b83d544931 fix(feature flags): Guard for None values when comparing person Properties (#129)
* Guard for None values when comparing person Properties
2024-08-21 11:18:20 -05:00
Frank HamandandGitHub 72c0ed1935 Switch us-api.i hosts to just us.i (#119)
We dropped the -api as it's a bit confusing (is capture really api?)
2024-08-14 08:41:10 +01:00
Neil KakkarandGitHub 5fdd6177ee Create CODEOWNERS (#122) 2024-05-02 18:02:13 +01:00
Neil KakkarandGitHub fc1da7d589 fix(flags): Add a shorter configurable timeout for flag requests (#120) 2024-03-04 14:25:11 +00:00
Brett HoernerandGitHub cba6e86537 Bump to 3.4.2 (#118) 2024-02-20 08:43:10 -07:00
Brett HoernerandGitHub 4e45255207 Add historical_migration option to toplevel Client (#117) 2024-02-15 06:42:43 -07:00
Neil KakkarandGitHub bc37351ab4 chore: Use ingestion hosts for event capture (#116) 2024-02-13 11:19:21 +00:00
Neil KakkarandGitHub a5e8b7d7fb fix(routing): Update hosts to point to right ingestion host (#115) 2024-02-05 12:14:14 +00:00
Neil KakkarandGitHub efb0ccf3c7 chore(flags): Update type hints for newer mypy versions (#114)
* chore(flags): Update type hints for newer mypy versions

* black
2024-01-30 16:06:10 +00:00
Neil KakkarandGitHub 8554b51a48 fix(flags): Update relative date op names (#113) 2024-01-26 15:52:46 +00:00
d0d962a8ba Module functions to also return the same as its Client equivalent (#111)
Co-authored-by: Neil Kakkar <neilkakkar@gmail.com>
2024-01-19 11:13:52 +00:00
Neil KakkarandGitHub e348106094 fix(flags): Don't override existing props when adding flags (#110) 2024-01-10 14:34:23 +00:00
Neil KakkarandGitHub e60d52c199 feat(flags): Add local props and flags to all calls (#106) 2024-01-09 11:30:10 +00:00
Neil KakkarandGitHub a2c73d0536 feat(flags): Add relative date operators, fix numeric ops (#105) 2024-01-09 11:22:18 +00:00
Xavier VelloandGitHub 33ba5d6843 feat: increase message and batch sizes (#108) 2023-12-04 16:27:26 +01:00
Daniil OkhlopkovandGitHub 3515c40483 Update LICENSE (#104) 2023-10-25 16:08:07 +01:00
Neil KakkarandGitHub 139258cacb fix(flags): Ensure feature properties exist on feature flag called ev… (#101)
* fix(flags): Ensure feature properties exist on feature flag called events

* fix

* make flake8 happy, will this bork?
2023-08-17 18:03:28 +01:00
Neil KakkarandGitHub f75d924d4c fix: disable behaviour for feature flags (#99) 2023-04-21 13:10:02 +01:00
617bb53501 Disable geoip for capture and decide calls by default (#98)
Co-authored-by: Neil Kakkar <neilkakkar@gmail.com>
2023-04-17 12:06:57 +01:00
Eric DuongandGitHub 4aa3499527 version 2.5.0 (#97) 2023-04-10 15:13:25 -04:00
Eric DuongandGitHub de7def97e2 chore: change package to be an instantiable client (#96)
* initial try

* change init file to a class

* remove commas

* format

* sort

* restore original and add renamed client

* format

* move disabled

* format

* handle changing var for global instance

* add test
2023-04-10 14:33:07 -04:00
47 changed files with 6851 additions and 177 deletions
+8 -8
View File
@@ -18,7 +18,7 @@ jobs:
with:
python-version: 3.8
- uses: actions/cache@v1
- uses: actions/cache@v3
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}
@@ -33,10 +33,10 @@ jobs:
- name: Check formatting with black
run: |
black --check .
- name: Lint with flake8
run: |
flake8 posthog --ignore E501
flake8 posthog --ignore E501,W503
- name: Check import order with isort
run: |
@@ -47,14 +47,14 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- uses: actions/checkout@v2
with:
fetch-depth: 1
- name: Set up Python 3.7
uses: actions/setup-python@v1
- name: Set up Python 3.9
uses: actions/setup-python@v2
with:
python-version: 3.7
python-version: 3.9
- name: Install requirements.txt dependencies with pip
run: |
@@ -62,4 +62,4 @@ jobs:
- name: Run posthog tests
run: |
python setup.py test
pytest --verbose --timeout=30
+3 -1
View File
@@ -14,4 +14,6 @@ pylint.out
posthog-analytics
.idea
.python-version
.coverage
.coverage
pyrightconfig.json
.env
+178 -5
View File
@@ -1,3 +1,173 @@
## 3.10.0 - 2025-01-24
1. Add `$ai_error` and `$ai_is_error` properties to LangChain callback handler, OpenAI, and Anthropic.
## 3.9.2 - 2025-01-22
1. Fix importing of LangChain callback handler under certain circumstances.
## 3.9.0 - 2025-01-22
1. Add `$ai_trace` event emission to LangChain callback handler.
## 3.8.4 - 2025-01-17
1. Add Anthropic support for LLM Observability.
2. Update LLM Observability to use output_choices.
## 3.8.3 - 2025-01-14
1. Fix setuptools to include the `posthog.ai.openai` and `posthog.ai.langchain` packages for the `posthoganalytics` package.
## 3.8.2 - 2025-01-14
1. Fix setuptools to include the `posthog.ai.openai` and `posthog.ai.langchain` packages.
## 3.8.1 - 2025-01-14
1. Add LLM Observability with support for OpenAI and Langchain callbacks.
## 3.7.5 - 2025-01-03
1. Add `distinct_id` to group_identify
## 3.7.4 - 2024-11-25
1. Fix bug where this SDK incorrectly sent feature flag events with null values when calling `get_feature_flag_payload`.
## 3.7.3 - 2024-11-25
1. Use personless mode when sending an exception without a provided `distinct_id`.
## 3.7.2 - 2024-11-19
1. Add `type` property to exception stacks.
## 3.7.1 - 2024-10-24
1. Add `platform` property to each frame of exception stacks.
## 3.7.0 - 2024-10-03
1. Adds a new `super_properties` parameter on the client that are appended to every /capture call.
## 3.6.7 - 2024-09-24
1. Remove deprecated datetime.utcnow() in favour of datetime.now(tz=tzutc())
## 3.6.6 - 2024-09-16
1. Fix manual capture support for in app frames
## 3.6.5 - 2024-09-10
1. Fix django integration support for manual exception capture.
## 3.6.4 - 2024-09-05
1. Add manual exception capture.
## 3.6.3 - 2024-09-03
1. Make sure setup.py for posthoganalytics package also discovers the new exception integration package.
## 3.6.2 - 2024-09-03
1. Make sure setup.py discovers the new exception integration package.
## 3.6.1 - 2024-09-03
1. Adds django integration to exception autocapture in alpha state. This feature is not yet stable and may change in future versions.
## 3.6.0 - 2024-08-28
1. Adds exception autocapture in alpha state. This feature is not yet stable and may change in future versions.
## 3.5.2 - 2024-08-21
1. Guard for None values in local evaluation
## 3.5.1 - 2024-08-13
1. Remove "-api" suffix from ingestion hostnames
## 3.5.0 - 2024-02-29
1. - Adds a new `feature_flags_request_timeout_seconds` timeout parameter for feature flags which defaults to 3 seconds, updated from the default 10s for all other API calls.
## 3.4.2 - 2024-02-20
1. Add `historical_migration` option for bulk migration to PostHog Cloud.
## 3.4.1 - 2024-02-09
1. Use new hosts for event capture as well
## 3.4.0 - 2024-02-05
1. Point given hosts to new ingestion hosts
## 3.3.4 - 2024-01-30
1. Update type hints for module variables to work with newer versions of mypy
## 3.3.3 - 2024-01-26
1. Remove new relative date operators, combine into regular date operators
## 3.3.2 - 2024-01-19
1. Return success/failure with all capture calls from module functions
## 3.3.1 - 2024-01-10
1. Make sure we don't override any existing feature flag properties when adding locally evaluated feature flag properties.
## 3.3.0 - 2024-01-09
1. When local evaluation is enabled, we automatically add flag information to all events sent to PostHog, whenever possible. This makes it easier to use these events in experiments.
## 3.2.0 - 2024-01-09
1. Numeric property handling for feature flags now does the expected: When passed in a number, we do a numeric comparison. When passed in a string, we do a string comparison. Previously, we always did a string comparison.
2. Add support for relative date operators for local evaluation.
## 3.1.0 - 2023-12-04
1. Increase maximum event size and batch size
## 3.0.2 - 2023-08-17
1. Returns the current flag property with $feature_flag_called events, to make it easier to use in experiments
## 3.0.1 - 2023-04-21
1. Restore how feature flags work when the client library is disabled: All requests return `None` and no events are sent when the client is disabled.
2. Add a `feature_flag_definitions()` debug option, which returns currently loaded feature flag definitions. You can use this to more cleverly decide when to request local evaluation of feature flags.
## 3.0.0 - 2023-04-14
Breaking change:
All events by default now send the `$geoip_disable` property to disable geoip lookup in app. This is because usually we don't
want to update person properties to take the server's location.
The same now happens for feature flag requests, where we discard the IP address of the server for matching on geoip properties like city, country, continent.
To restore previous behaviour, you can set the default to False like so:
```python
posthog.disable_geoip = False
# // and if using client instantiation:
posthog = Posthog('api_key', disable_geoip=False)
```
## 2.5.0 - 2023-04-10
1. Add option for instantiating separate client object
## 2.4.2 - 2023-03-30
1. Update backoff dependency for posthoganalytics package to be the same as posthog package
@@ -15,7 +185,6 @@
1. Log instead of raise error on posthog personal api key errors
2. Remove upper bound on backoff dependency
## 2.3.0 - 2023-01-31
1. Add support for returning payloads of matched feature flags
@@ -31,6 +200,7 @@ Changes:
Changes:
1. Fixes issues with date comparison.
## 2.1.1 - 2022-09-14
Changes:
@@ -43,6 +213,7 @@ Changes:
1. Feature flag defaults have been removed
2. Setup logging only when debug mode is enabled.
## 2.0.1 - 2022-08-04
- Make poll_interval configurable
@@ -54,8 +225,8 @@ Changes:
Breaking changes:
1. The minimum version requirement for PostHog servers is now 1.38. If you're using PostHog Cloud, you satisfy this requirement automatically.
2. Feature flag defaults apply only when there's an error fetching feature flag results. Earlier, if the default was set to `True`, even if a flag resolved to `False`, the default would override this.
**Note: These are removed in 2.0.2**
2. Feature flag defaults apply only when there's an error fetching feature flag results. Earlier, if the default was set to `True`, even if a flag resolved to `False`, the default would override this.
**Note: These are removed in 2.0.2**
3. Feature flag remote evaluation doesn't require a personal API key.
New Changes:
@@ -63,18 +234,20 @@ New Changes:
1. You can now evaluate feature flags locally (i.e. without sending a request to your PostHog servers) by setting a personal API key, and passing in groups and person properties to `is_feature_enabled` and `get_feature_flag` calls.
2. Introduces a `get_all_flags` method that returns all feature flags. This is useful for when you want to seed your frontend with some initial flags, given a user ID.
## 1.4.9 - 2022-06-13
- Support for sending feature flags with capture calls
## 1.4.8 - 2022-05-12
- Support multi variate feature flags
## 1.4.7 - 2022-04-25
- Allow feature flags usage without project_api_key
## 1.4.1 - 2021-05-28
- Fix packaging issues with Sentry integrations
## 1.4.0 - 2021-05-18
+1
View File
@@ -0,0 +1 @@
@PostHog/team-feature-flags
+1 -1
View File
@@ -1,4 +1,4 @@
Copyright (c) 2020 PostHog (part of Hiberly Inc)
Copyright (c) 2023 PostHog (part of Hiberly Inc)
Copyright (c) 2013 Segment Inc. friends@segment.com
+2
View File
@@ -17,11 +17,13 @@ release_analytics:
rm -rf posthoganalytics
mkdir posthoganalytics
cp -r posthog/* posthoganalytics/
find ./posthoganalytics -type f -exec sed -i '' -e 's/from posthog /from posthoganalytics /g' {} \;
find ./posthoganalytics -type f -exec sed -i '' -e 's/from posthog\./from posthoganalytics\./g' {} \;
rm -rf posthog
python setup_analytics.py sdist bdist_wheel
twine upload dist/*
mkdir posthog
find ./posthoganalytics -type f -exec sed -i '' -e 's/from posthoganalytics /from posthog /g' {} \;
find ./posthoganalytics -type f -exec sed -i '' -e 's/from posthoganalytics\./from posthog\./g' {} \;
cp -r posthoganalytics/* posthog/
rm -rf posthoganalytics
+1 -1
View File
@@ -1,7 +1,7 @@
# PostHog Python library example
# Import the library
import time
# import time
import posthog
+196
View File
@@ -0,0 +1,196 @@
import os
import uuid
import posthog
from posthog.ai.openai import AsyncOpenAI, OpenAI
# Example credentials - replace these with your own or use environment variables
posthog.project_api_key = os.getenv("POSTHOG_PROJECT_API_KEY", "your-project-api-key")
posthog.personal_api_key = os.getenv("POSTHOG_PERSONAL_API_KEY", "your-personal-api-key")
posthog.host = os.getenv("POSTHOG_HOST", "http://localhost:8000") # Or https://app.posthog.com
posthog.debug = True
# change this to False to see usage events
# posthog.privacy_mode = True
openai_client = OpenAI(
api_key=os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
posthog_client=posthog,
)
async_openai_client = AsyncOpenAI(
api_key=os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
posthog_client=posthog,
)
def main_sync():
trace_id = str(uuid.uuid4())
print("Trace ID:", trace_id)
distinct_id = "test2_distinct_id"
properties = {"test_property": "test_value"}
groups = {"company": "test_company"}
try:
basic_openai_call(distinct_id, trace_id, properties, groups)
streaming_openai_call(distinct_id, trace_id, properties, groups)
embedding_openai_call(distinct_id, trace_id, properties, groups)
image_openai_call()
except Exception as e:
print("Error during OpenAI call:", str(e))
async def main_async():
trace_id = str(uuid.uuid4())
print("Trace ID:", trace_id)
distinct_id = "test_distinct_id"
properties = {"test_property": "test_value"}
groups = {"company": "test_company"}
try:
await basic_async_openai_call(distinct_id, trace_id, properties, groups)
await streaming_async_openai_call(distinct_id, trace_id, properties, groups)
await embedding_async_openai_call(distinct_id, trace_id, properties, groups)
await image_async_openai_call()
except Exception as e:
print("Error during OpenAI call:", str(e))
def basic_openai_call(distinct_id, trace_id, properties, groups):
response = openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a complex problem solver."},
{"role": "user", "content": "Explain quantum computing in simple terms."},
],
max_tokens=100,
temperature=0.7,
posthog_distinct_id=distinct_id,
posthog_trace_id=trace_id,
posthog_properties=properties,
posthog_groups=groups,
)
print(response)
if response and response.choices:
print("OpenAI response:", response.choices[0].message.content)
else:
print("No response or unexpected format returned.")
return response
async def basic_async_openai_call(distinct_id, trace_id, properties, groups):
response = await async_openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a complex problem solver."},
{"role": "user", "content": "Explain quantum computing in simple terms."},
],
max_tokens=100,
temperature=0.7,
posthog_distinct_id=distinct_id,
posthog_trace_id=trace_id,
posthog_properties=properties,
posthog_groups=groups,
)
if response and hasattr(response, "choices"):
print("OpenAI response:", response.choices[0].message.content)
else:
print("No response or unexpected format returned.")
return response
def streaming_openai_call(distinct_id, trace_id, properties, groups):
response = openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a complex problem solver."},
{"role": "user", "content": "Explain quantum computing in simple terms."},
],
max_tokens=100,
temperature=0.7,
stream=True,
posthog_distinct_id=distinct_id,
posthog_trace_id=trace_id,
posthog_properties=properties,
posthog_groups=groups,
)
for chunk in response:
if hasattr(chunk, "choices") and chunk.choices and len(chunk.choices) > 0:
print(chunk.choices[0].delta.content or "", end="")
return response
async def streaming_async_openai_call(distinct_id, trace_id, properties, groups):
response = await async_openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a complex problem solver."},
{"role": "user", "content": "Explain quantum computing in simple terms."},
],
max_tokens=100,
temperature=0.7,
stream=True,
posthog_distinct_id=distinct_id,
posthog_trace_id=trace_id,
posthog_properties=properties,
posthog_groups=groups,
)
async for chunk in response:
if hasattr(chunk, "choices") and chunk.choices and len(chunk.choices) > 0:
print(chunk.choices[0].delta.content or "", end="")
return response
# none instrumented
def image_openai_call():
response = openai_client.images.generate(model="dall-e-3", prompt="A cute baby hedgehog", n=1, size="1024x1024")
print(response)
return response
# none instrumented
async def image_async_openai_call():
response = await async_openai_client.images.generate(
model="dall-e-3", prompt="A cute baby hedgehog", n=1, size="1024x1024"
)
print(response)
return response
def embedding_openai_call(posthog_distinct_id, posthog_trace_id, posthog_properties, posthog_groups):
response = openai_client.embeddings.create(
input="The hedgehog is cute",
model="text-embedding-3-small",
posthog_distinct_id=posthog_distinct_id,
posthog_trace_id=posthog_trace_id,
posthog_properties=posthog_properties,
posthog_groups=posthog_groups,
)
print(response)
return response
async def embedding_async_openai_call(posthog_distinct_id, posthog_trace_id, posthog_properties, posthog_groups):
response = await async_openai_client.embeddings.create(
input="The hedgehog is cute",
model="text-embedding-3-small",
posthog_distinct_id=posthog_distinct_id,
posthog_trace_id=posthog_trace_id,
posthog_properties=posthog_properties,
posthog_groups=posthog_groups,
)
print(response)
return response
# HOW TO RUN:
# comment out one of these to run the other
if __name__ == "__main__":
main_sync()
# asyncio.run(main_async())
+132 -30
View File
@@ -1,24 +1,35 @@
import datetime # noqa: F401
from typing import Callable, Dict, Optional # noqa: F401
from typing import Callable, Dict, List, Optional, Tuple # noqa: F401
from posthog.client import Client
from posthog.exception_capture import Integrations # noqa: F401
from posthog.version import VERSION
__version__ = VERSION
"""Settings."""
api_key = None # type: str
host = None # type: str
on_error = None # type: Callable
api_key = None # type: Optional[str]
host = None # type: Optional[str]
on_error = None # type: Optional[Callable]
debug = False # type: bool
send = True # type: bool
sync_mode = False # type: bool
disabled = False # type: bool
personal_api_key = None # type: str
project_api_key = None # type: str
personal_api_key = None # type: Optional[str]
project_api_key = None # type: Optional[str]
poll_interval = 30 # type: int
disable_geoip = True # type: bool
feature_flags_request_timeout_seconds = 3 # type: int
super_properties = None # type: Optional[Dict]
# Currently alpha, use at your own risk
enable_exception_autocapture = False # type: bool
exception_autocapture_integrations = [] # type: List[Integrations]
# Used to determine in app paths for exception autocapture. Defaults to the current working directory
project_root = None # type: Optional[str]
# Used for our AI observability feature to not capture any prompt or output just usage + metadata
privacy_mode = False # type: bool
default_client = None
default_client = None # type: Optional[Client]
def capture(
@@ -30,8 +41,9 @@ def capture(
uuid=None, # type: Optional[str]
groups=None, # type: Optional[Dict]
send_feature_flags=False,
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
Capture allows you to capture anything a user does within your system, which you can later use in PostHog to find patterns in usage, work out which features to improve or where people are giving up.
@@ -52,7 +64,7 @@ def capture(
posthog.capture('distinct id', 'purchase', groups={'company': 'id:5'})
```
"""
_proxy(
return _proxy(
"capture",
distinct_id=distinct_id,
event=event,
@@ -62,6 +74,7 @@ def capture(
uuid=uuid,
groups=groups,
send_feature_flags=send_feature_flags,
disable_geoip=disable_geoip,
)
@@ -71,8 +84,9 @@ def identify(
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
Identify lets you add metadata on your users so you can more easily identify who they are in PostHog, and even do things like segment users by these properties.
@@ -88,24 +102,26 @@ def identify(
})
```
"""
_proxy(
return _proxy(
"identify",
distinct_id=distinct_id,
properties=properties,
context=context,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def set(
distinct_id, # type: str,
distinct_id, # type: str
properties=None, # type: Optional[Dict]
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
Set properties on a user record.
This will overwrite previous people property values, just like `identify`.
@@ -121,24 +137,26 @@ def set(
})
```
"""
_proxy(
return _proxy(
"set",
distinct_id=distinct_id,
properties=properties,
context=context,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def set_once(
distinct_id, # type: str,
distinct_id, # type: str
properties=None, # type: Optional[Dict]
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
Set properties on a user record, only if they do not yet exist.
This will not overwrite previous people property values, unlike `identify`.
@@ -154,13 +172,14 @@ def set_once(
})
```
"""
_proxy(
return _proxy(
"set_once",
distinct_id=distinct_id,
properties=properties,
context=context,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
@@ -171,8 +190,9 @@ def group_identify(
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
Set properties on a group
@@ -188,7 +208,7 @@ def group_identify(
})
```
"""
_proxy(
return _proxy(
"group_identify",
group_type=group_type,
group_key=group_key,
@@ -196,17 +216,19 @@ def group_identify(
context=context,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def alias(
previous_id, # type: str,
distinct_id, # type: str,
previous_id, # type: str
distinct_id, # type: str
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> None
# type: (...) -> Tuple[bool, dict]
"""
To marry up whatever a user does before they sign up or log in with what they do after you need to make an alias call. This will allow you to answer questions like "Which marketing channels leads to users churning after a month?" or "What do users do on our website before signing up?"
@@ -223,24 +245,70 @@ def alias(
posthog.alias('anonymous session id', 'distinct id')
```
"""
_proxy(
return _proxy(
"alias",
previous_id=previous_id,
distinct_id=distinct_id,
context=context,
timestamp=timestamp,
uuid=uuid,
disable_geoip=disable_geoip,
)
def capture_exception(
exception=None, # type: Optional[BaseException]
distinct_id=None, # type: Optional[str]
properties=None, # type: Optional[Dict]
context=None, # type: Optional[Dict]
timestamp=None, # type: Optional[datetime.datetime]
uuid=None, # type: Optional[str]
groups=None, # type: Optional[Dict]
):
# type: (...) -> Tuple[bool, dict]
"""
capture_exception allows you to capture exceptions that happen in your code. This is useful for debugging and understanding what errors your users are encountering.
This function never raises an exception, even if it fails to send the event.
A `capture_exception` call does not require any fields, but we recommend sending:
- `distinct id` which uniquely identifies your user for which this exception happens
- `exception` to specify the exception to capture. If not provided, the current exception is captured via `sys.exc_info()`
Optionally you can submit
- `properties`, which can be a dict with any information you'd like to add
- `groups`, which is a dict of group type -> group key mappings
For example:
```python
try:
1 / 0
except Exception as e:
posthog.capture_exception(e, 'my specific distinct id')
posthog.capture_exception(distinct_id='my specific distinct id')
```
"""
return _proxy(
"capture_exception",
exception=exception,
distinct_id=distinct_id,
properties=properties,
context=context,
timestamp=timestamp,
uuid=uuid,
groups=groups,
)
def feature_enabled(
key, # type: str,
distinct_id, # type: str,
key, # type: str
distinct_id, # type: str
groups={}, # type: dict
person_properties={}, # type: dict
group_properties={}, # type: dict
only_evaluate_locally=False, # type: bool
send_feature_flag_events=True, # type: bool
disable_geoip=None, # type: Optional[bool]
):
# type: (...) -> bool
"""
@@ -265,17 +333,19 @@ def feature_enabled(
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
)
def get_feature_flag(
key, # type: str,
distinct_id, # type: str,
key, # type: str
distinct_id, # type: str
groups={}, # type: dict
person_properties={}, # type: dict
group_properties={}, # type: dict
only_evaluate_locally=False, # type: bool
send_feature_flag_events=True, # type: bool
disable_geoip=None, # type: Optional[bool]
):
"""
Get feature flag variant for users. Used with experiments.
@@ -308,15 +378,17 @@ def get_feature_flag(
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
)
def get_all_flags(
distinct_id, # type: str,
distinct_id, # type: str
groups={}, # type: dict
person_properties={}, # type: dict
group_properties={}, # type: dict
only_evaluate_locally=False, # type: bool
disable_geoip=None, # type: Optional[bool]
):
"""
Get all flags for a given user.
@@ -334,6 +406,7 @@ def get_all_flags(
person_properties=person_properties,
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
disable_geoip=disable_geoip,
)
@@ -346,6 +419,7 @@ def get_feature_flag_payload(
group_properties={},
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None, # type: Optional[bool]
):
return _proxy(
"get_feature_flag_payload",
@@ -357,6 +431,7 @@ def get_feature_flag_payload(
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
)
@@ -366,6 +441,7 @@ def get_all_flags_and_payloads(
person_properties={},
group_properties={},
only_evaluate_locally=False,
disable_geoip=None, # type: Optional[bool]
):
return _proxy(
"get_all_flags_and_payloads",
@@ -374,9 +450,20 @@ def get_all_flags_and_payloads(
person_properties=person_properties,
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
disable_geoip=disable_geoip,
)
def feature_flag_definitions():
"""Returns loaded feature flags, if any. Helpful for debugging what flag information you have loaded."""
return _proxy("feature_flag_definitions")
def load_feature_flags():
"""Load feature flag definitions from PostHog."""
return _proxy("load_feature_flags")
def page(*args, **kwargs):
"""Send a page call."""
_proxy("page", *args, **kwargs)
@@ -406,8 +493,6 @@ def shutdown():
def _proxy(method, *args, **kwargs):
"""Create an analytics client if one doesn't exist and send to it."""
global default_client
if disabled:
return None
if not default_client:
default_client = Client(
api_key,
@@ -419,7 +504,24 @@ def _proxy(method, *args, **kwargs):
personal_api_key=personal_api_key,
project_api_key=project_api_key,
poll_interval=poll_interval,
disabled=disabled,
disable_geoip=disable_geoip,
feature_flags_request_timeout_seconds=feature_flags_request_timeout_seconds,
super_properties=super_properties,
# TODO: Currently this monitoring begins only when the Client is initialised (which happens when you do something with the SDK)
# This kind of initialisation is very annoying for exception capture. We need to figure out a way around this,
# or deprecate this proxy option fully (it's already in the process of deprecation, no new clients should be using this method since like 5-6 months)
enable_exception_autocapture=enable_exception_autocapture,
exception_autocapture_integrations=exception_autocapture_integrations,
)
# always set incase user changes it
default_client.disabled = disabled
default_client.debug = debug
fn = getattr(default_client, method)
return fn(*args, **kwargs)
class Posthog(Client):
pass
View File
+12
View File
@@ -0,0 +1,12 @@
from .anthropic import Anthropic
from .anthropic_async import AsyncAnthropic
from .anthropic_providers import AnthropicBedrock, AnthropicVertex, AsyncAnthropicBedrock, AsyncAnthropicVertex
__all__ = [
"Anthropic",
"AsyncAnthropic",
"AnthropicBedrock",
"AsyncAnthropicBedrock",
"AnthropicVertex",
"AsyncAnthropicVertex",
]
+202
View File
@@ -0,0 +1,202 @@
try:
import anthropic
from anthropic.resources import Messages
except ImportError:
raise ModuleNotFoundError("Please install the Anthropic SDK to use this feature: 'pip install anthropic'")
import time
import uuid
from typing import Any, Dict, Optional
from posthog.ai.utils import call_llm_and_track_usage, get_model_params, merge_system_prompt, with_privacy_mode
from posthog.client import Client as PostHogClient
class Anthropic(anthropic.Anthropic):
"""
A wrapper around the Anthropic SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
"""
Args:
posthog_client: PostHog client for tracking usage
**kwargs: Additional arguments passed to the Anthropic client
"""
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = WrappedMessages(self)
class WrappedMessages(Messages):
_client: Anthropic
def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
"""
Create a message using Anthropic's API while tracking usage in PostHog.
Args:
posthog_distinct_id: Optional ID to associate with the usage event
posthog_trace_id: Optional trace UUID for linking events
posthog_properties: Optional dictionary of extra properties to include in the event
posthog_privacy_mode: Whether to redact sensitive information in tracking
posthog_groups: Optional group analytics properties
**kwargs: Arguments passed to Anthropic's messages.create
"""
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
if kwargs.get("stream", False):
return self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
return call_llm_and_track_usage(
posthog_distinct_id,
self._client._ph_client,
"anthropic",
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
self._client.base_url,
super().create,
**kwargs,
)
def stream(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
return self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
def _create_streaming(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
**kwargs: Any,
):
start_time = time.time()
usage_stats: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0}
accumulated_content = []
response = super().create(**kwargs)
def generator():
nonlocal usage_stats
nonlocal accumulated_content
try:
for event in response:
if hasattr(event, "usage") and event.usage:
usage_stats = {
k: getattr(event.usage, k, 0)
for k in [
"input_tokens",
"output_tokens",
]
}
if hasattr(event, "content") and event.content:
accumulated_content.append(event.content)
yield event
finally:
end_time = time.time()
latency = end_time - start_time
output = "".join(accumulated_content)
self._capture_streaming_event(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
kwargs,
usage_stats,
latency,
output,
)
return generator()
def _capture_streaming_event(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
kwargs: Dict[str, Any],
usage_stats: Dict[str, int],
latency: float,
output: str,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
event_properties = {
"$ai_provider": "anthropic",
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
merge_system_prompt(kwargs, "anthropic"),
),
"$ai_output_choices": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
[{"content": output, "role": "assistant"}],
),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("input_tokens", 0),
"$ai_output_tokens": usage_stats.get("output_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**(posthog_properties or {}),
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
+202
View File
@@ -0,0 +1,202 @@
try:
import anthropic
from anthropic.resources import AsyncMessages
except ImportError:
raise ModuleNotFoundError("Please install the Anthropic SDK to use this feature: 'pip install anthropic'")
import time
import uuid
from typing import Any, Dict, Optional
from posthog.ai.utils import call_llm_and_track_usage_async, get_model_params, merge_system_prompt, with_privacy_mode
from posthog.client import Client as PostHogClient
class AsyncAnthropic(anthropic.AsyncAnthropic):
"""
An async wrapper around the Anthropic SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
"""
Args:
posthog_client: PostHog client for tracking usage
**kwargs: Additional arguments passed to the Anthropic client
"""
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = AsyncWrappedMessages(self)
class AsyncWrappedMessages(AsyncMessages):
_client: AsyncAnthropic
async def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
"""
Create a message using Anthropic's API while tracking usage in PostHog.
Args:
posthog_distinct_id: Optional ID to associate with the usage event
posthog_trace_id: Optional trace UUID for linking events
posthog_properties: Optional dictionary of extra properties to include in the event
posthog_privacy_mode: Whether to redact sensitive information in tracking
posthog_groups: Optional group analytics properties
**kwargs: Arguments passed to Anthropic's messages.create
"""
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
if kwargs.get("stream", False):
return await self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
return await call_llm_and_track_usage_async(
posthog_distinct_id,
self._client._ph_client,
"anthropic",
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
self._client.base_url,
super().create,
**kwargs,
)
async def stream(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
return await self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
async def _create_streaming(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
**kwargs: Any,
):
start_time = time.time()
usage_stats: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0}
accumulated_content = []
response = await super().create(**kwargs)
async def generator():
nonlocal usage_stats
nonlocal accumulated_content
try:
async for event in response:
if hasattr(event, "usage") and event.usage:
usage_stats = {
k: getattr(event.usage, k, 0)
for k in [
"input_tokens",
"output_tokens",
]
}
if hasattr(event, "content") and event.content:
accumulated_content.append(event.content)
yield event
finally:
end_time = time.time()
latency = end_time - start_time
output = "".join(accumulated_content)
await self._capture_streaming_event(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
kwargs,
usage_stats,
latency,
output,
)
return generator()
async def _capture_streaming_event(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
kwargs: Dict[str, Any],
usage_stats: Dict[str, int],
latency: float,
output: str,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
event_properties = {
"$ai_provider": "anthropic",
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
merge_system_prompt(kwargs, "anthropic"),
),
"$ai_output_choices": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
[{"content": output, "role": "assistant"}],
),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("input_tokens", 0),
"$ai_output_tokens": usage_stats.get("output_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**(posthog_properties or {}),
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
@@ -0,0 +1,60 @@
try:
import anthropic
except ImportError:
raise ModuleNotFoundError("Please install the Anthropic SDK to use this feature: 'pip install anthropic'")
from posthog.ai.anthropic.anthropic import WrappedMessages
from posthog.ai.anthropic.anthropic_async import AsyncWrappedMessages
from posthog.client import Client as PostHogClient
class AnthropicBedrock(anthropic.AnthropicBedrock):
"""
A wrapper around the Anthropic Bedrock SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = WrappedMessages(self)
class AsyncAnthropicBedrock(anthropic.AsyncAnthropicBedrock):
"""
A wrapper around the Anthropic Bedrock SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = AsyncWrappedMessages(self)
class AnthropicVertex(anthropic.AnthropicVertex):
"""
A wrapper around the Anthropic Vertex SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = WrappedMessages(self)
class AsyncAnthropicVertex(anthropic.AsyncAnthropicVertex):
"""
A wrapper around the Anthropic Vertex SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
super().__init__(**kwargs)
self._ph_client = posthog_client
self.messages = AsyncWrappedMessages(self)
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from .callbacks import CallbackHandler
__all__ = ["CallbackHandler"]
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try:
import langchain # noqa: F401
except ImportError:
raise ModuleNotFoundError("Please install LangChain to use this feature: 'pip install langchain'")
import logging
import time
import uuid
from typing import (
Any,
Dict,
List,
Optional,
Tuple,
TypedDict,
Union,
cast,
)
from uuid import UUID
from langchain.callbacks.base import BaseCallbackHandler
from langchain.schema.agent import AgentAction, AgentFinish
from langchain_core.messages import AIMessage, BaseMessage, FunctionMessage, HumanMessage, SystemMessage, ToolMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from pydantic import BaseModel
from posthog import default_client
from posthog.ai.utils import get_model_params, with_privacy_mode
from posthog.client import Client
log = logging.getLogger("posthog")
class RunMetadata(TypedDict, total=False):
input: Any
"""Input of the run: messages, prompt variables, etc."""
name: str
"""Name of the run: chain name, model name, etc."""
provider: str
"""Provider of the run: OpenAI, Anthropic"""
model: str
"""Model used in the run"""
model_params: Dict[str, Any]
"""Model parameters of the run: temperature, max_tokens, etc."""
base_url: str
"""Base URL of the provider's API used in the run."""
start_time: float
"""Start time of the run."""
end_time: float
"""End time of the run."""
RunStorage = Dict[UUID, RunMetadata]
class CallbackHandler(BaseCallbackHandler):
"""
The PostHog LLM observability callback handler for LangChain.
"""
_client: Client
"""PostHog client instance."""
_distinct_id: Optional[Union[str, int, float, UUID]]
"""Distinct ID of the user to associate the trace with."""
_trace_id: Optional[Union[str, int, float, UUID]]
"""Global trace ID to be sent with every event. Otherwise, the top-level run ID is used."""
_trace_input: Optional[Any]
"""The input at the start of the trace. Any JSON object."""
_trace_name: Optional[str]
"""Name of the trace, exposed in the UI."""
_properties: Optional[Dict[str, Any]]
"""Global properties to be sent with every event."""
_runs: RunStorage
"""Mapping of run IDs to run metadata as run metadata is only available on the start of generation."""
_parent_tree: Dict[UUID, UUID]
"""
A dictionary that maps chain run IDs to their parent chain run IDs (parent pointer tree),
so the top level can be found from a bottom-level run ID.
"""
def __init__(
self,
client: Optional[Client] = None,
*,
distinct_id: Optional[Union[str, int, float, UUID]] = None,
trace_id: Optional[Union[str, int, float, UUID]] = None,
properties: Optional[Dict[str, Any]] = None,
privacy_mode: bool = False,
groups: Optional[Dict[str, Any]] = None,
):
"""
Args:
client: PostHog client instance.
distinct_id: Optional distinct ID of the user to associate the trace with.
trace_id: Optional trace ID to use for the event.
properties: Optional additional metadata to use for the trace.
privacy_mode: Whether to redact the input and output of the trace.
groups: Optional additional PostHog groups to use for the trace.
"""
self._client = client or default_client
self._distinct_id = distinct_id
self._trace_id = trace_id
self._trace_name = None
self._trace_input = None
self._properties = properties or {}
self._privacy_mode = privacy_mode
self._groups = groups or {}
self._runs = {}
self._parent_tree = {}
def on_chain_start(
self,
serialized: Dict[str, Any],
inputs: Dict[str, Any],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs,
):
self._log_debug_event("on_chain_start", run_id, parent_run_id, inputs=inputs)
self._set_parent_of_run(run_id, parent_run_id)
if parent_run_id is None and self._trace_name is None:
self._set_span_metadata(run_id, self._get_langchain_run_name(serialized, **kwargs), inputs)
def on_chat_model_start(
self,
serialized: Dict[str, Any],
messages: List[List[BaseMessage]],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs,
):
self._log_debug_event("on_chat_model_start", run_id, parent_run_id, messages=messages)
self._set_parent_of_run(run_id, parent_run_id)
input = [_convert_message_to_dict(message) for row in messages for message in row]
self._set_llm_metadata(serialized, run_id, input, **kwargs)
def on_llm_start(
self,
serialized: Dict[str, Any],
prompts: List[str],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
):
self._log_debug_event("on_llm_start", run_id, parent_run_id, prompts=prompts)
self._set_parent_of_run(run_id, parent_run_id)
self._set_llm_metadata(serialized, run_id, prompts, **kwargs)
def on_llm_new_token(
self,
token: str,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
"""Run on new LLM token. Only available when streaming is enabled."""
self._log_debug_event("on_llm_new_token", run_id, parent_run_id, token=token)
def on_tool_start(
self,
serialized: Optional[Dict[str, Any]],
input_str: str,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> Any:
self._log_debug_event("on_tool_start", run_id, parent_run_id, input_str=input_str)
def on_tool_end(
self,
output: str,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
self._log_debug_event("on_tool_end", run_id, parent_run_id, output=output)
def on_tool_error(
self,
error: Union[Exception, KeyboardInterrupt],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
self._log_debug_event("on_tool_error", run_id, parent_run_id, error=error)
def on_chain_end(
self,
outputs: Dict[str, Any],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
):
self._log_debug_event("on_chain_end", run_id, parent_run_id, outputs=outputs)
self._pop_parent_of_run(run_id)
if parent_run_id is None:
self._pop_trace_and_capture(run_id, outputs=outputs)
def on_chain_error(
self,
error: BaseException,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
):
self._log_debug_event("on_chain_error", run_id, parent_run_id, error=error)
self._pop_parent_of_run(run_id)
if parent_run_id is None:
self._pop_trace_and_capture(run_id, outputs=None)
def on_llm_end(
self,
response: LLMResult,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
):
"""
The callback works for both streaming and non-streaming runs. For streaming runs, the chain must set `stream_usage=True` in the LLM.
"""
self._log_debug_event("on_llm_end", run_id, parent_run_id, response=response, kwargs=kwargs)
trace_id = self._get_trace_id(run_id)
self._pop_parent_of_run(run_id)
run = self._pop_run_metadata(run_id)
if not run:
return
latency = run.get("end_time", 0) - run.get("start_time", 0)
input_tokens, output_tokens = _parse_usage(response)
generation_result = response.generations[-1]
if isinstance(generation_result[-1], ChatGeneration):
output = [
_convert_message_to_dict(cast(ChatGeneration, generation).message) for generation in generation_result
]
else:
output = [_extract_raw_esponse(generation) for generation in generation_result]
event_properties = {
"$ai_provider": run.get("provider"),
"$ai_model": run.get("model"),
"$ai_model_parameters": run.get("model_params"),
"$ai_input": with_privacy_mode(self._client, self._privacy_mode, run.get("input")),
"$ai_output_choices": with_privacy_mode(self._client, self._privacy_mode, output),
"$ai_http_status": 200,
"$ai_input_tokens": input_tokens,
"$ai_output_tokens": output_tokens,
"$ai_latency": latency,
"$ai_trace_id": trace_id,
"$ai_base_url": run.get("base_url"),
**self._properties,
}
if self._distinct_id is None:
event_properties["$process_person_profile"] = False
self._client.capture(
distinct_id=self._distinct_id or trace_id,
event="$ai_generation",
properties=event_properties,
groups=self._groups,
)
def on_llm_error(
self,
error: BaseException,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
):
self._log_debug_event("on_llm_error", run_id, parent_run_id, error=error)
trace_id = self._get_trace_id(run_id)
self._pop_parent_of_run(run_id)
run = self._pop_run_metadata(run_id)
if not run:
return
latency = run.get("end_time", 0) - run.get("start_time", 0)
event_properties = {
"$ai_provider": run.get("provider"),
"$ai_model": run.get("model"),
"$ai_model_parameters": run.get("model_params"),
"$ai_input": with_privacy_mode(self._client, self._privacy_mode, run.get("input")),
"$ai_http_status": _get_http_status(error),
"$ai_latency": latency,
"$ai_trace_id": trace_id,
"$ai_base_url": run.get("base_url"),
"$ai_is_error": True,
"$ai_error": error.__str__(),
**self._properties,
}
if self._distinct_id is None:
event_properties["$process_person_profile"] = False
self._client.capture(
distinct_id=self._distinct_id or trace_id,
event="$ai_generation",
properties=event_properties,
groups=self._groups,
)
def on_retriever_start(
self,
serialized: Optional[Dict[str, Any]],
query: str,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> Any:
self._log_debug_event("on_retriever_start", run_id, parent_run_id, query=query)
def on_retriever_error(
self,
error: Union[Exception, KeyboardInterrupt],
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
"""Run when Retriever errors."""
self._log_debug_event("on_retriever_error", run_id, parent_run_id, error=error)
def on_agent_action(
self,
action: AgentAction,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
"""Run on agent action."""
self._log_debug_event("on_agent_action", run_id, parent_run_id, action=action)
def on_agent_finish(
self,
finish: AgentFinish,
*,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> Any:
self._log_debug_event("on_agent_finish", run_id, parent_run_id, finish=finish)
def _set_parent_of_run(self, run_id: UUID, parent_run_id: Optional[UUID] = None):
"""
Set the parent run ID for a chain run. If there is no parent, the run is the root.
"""
if parent_run_id is not None:
self._parent_tree[run_id] = parent_run_id
def _pop_parent_of_run(self, run_id: UUID):
"""
Remove the parent run ID for a chain run.
"""
try:
self._parent_tree.pop(run_id)
except KeyError:
pass
def _find_root_run(self, run_id: UUID) -> UUID:
"""
Finds the root ID of a chain run.
"""
id: UUID = run_id
while id in self._parent_tree:
id = self._parent_tree[id]
return id
def _set_span_metadata(self, run_id: UUID, name: str, input: Any):
self._runs[run_id] = {
"name": name,
"input": input,
"start_time": time.time(),
}
def _set_llm_metadata(
self,
serialized: Dict[str, Any],
run_id: UUID,
messages: Union[List[Dict[str, Any]], List[str]],
metadata: Optional[Dict[str, Any]] = None,
invocation_params: Optional[Dict[str, Any]] = None,
**kwargs,
):
run: RunMetadata = {
"input": messages,
"start_time": time.time(),
}
if isinstance(invocation_params, dict):
run["model_params"] = get_model_params(invocation_params)
if isinstance(metadata, dict):
if model := metadata.get("ls_model_name"):
run["model"] = model
if provider := metadata.get("ls_provider"):
run["provider"] = provider
try:
base_url = serialized["kwargs"]["openai_api_base"]
if base_url is not None:
run["base_url"] = base_url
except KeyError:
pass
self._runs[run_id] = run
def _pop_run_metadata(self, run_id: UUID) -> Optional[RunMetadata]:
end_time = time.time()
try:
run = self._runs.pop(run_id)
except KeyError:
log.warning(f"No run metadata found for run {run_id}")
return None
run["end_time"] = end_time
return run
def _get_trace_id(self, run_id: UUID):
trace_id = self._trace_id or self._find_root_run(run_id)
if not trace_id:
trace_id = uuid.uuid4()
return trace_id
def _get_langchain_run_name(self, serialized: Optional[Dict[str, Any]], **kwargs: Any) -> str:
"""Retrieve the name of a serialized LangChain runnable.
The prioritization for the determination of the run name is as follows:
- The value assigned to the "name" key in `kwargs`.
- The value assigned to the "name" key in `serialized`.
- The last entry of the value assigned to the "id" key in `serialized`.
- "<unknown>".
Args:
serialized (Optional[Dict[str, Any]]): A dictionary containing the runnable's serialized data.
**kwargs (Any): Additional keyword arguments, potentially including the 'name' override.
Returns:
str: The determined name of the Langchain runnable.
"""
if "name" in kwargs and kwargs["name"] is not None:
return kwargs["name"]
try:
return serialized["name"]
except (KeyError, TypeError):
pass
try:
return serialized["id"][-1]
except (KeyError, TypeError):
pass
def _pop_trace_and_capture(self, run_id: UUID, *, outputs: Optional[Dict[str, Any]]):
trace_id = self._get_trace_id(run_id)
run = self._pop_run_metadata(run_id)
if not run:
return
event_properties = {
"$ai_trace_name": run.get("name"),
"$ai_trace_id": trace_id,
"$ai_input_state": with_privacy_mode(self._client, self._privacy_mode, run.get("input")),
"$ai_latency": run.get("end_time", 0) - run.get("start_time", 0),
**self._properties,
}
if outputs is not None:
event_properties["$ai_output_state"] = with_privacy_mode(self._client, self._privacy_mode, outputs)
if self._distinct_id is None:
event_properties["$process_person_profile"] = False
self._client.capture(
distinct_id=self._distinct_id or trace_id,
event="$ai_trace",
properties=event_properties,
groups=self._groups,
)
def _log_debug_event(
self,
event_name: str,
run_id: UUID,
parent_run_id: Optional[UUID] = None,
**kwargs,
):
log.debug(
f"Event: {event_name}, run_id: {str(run_id)[:5]}, parent_run_id: {str(parent_run_id)[:5]}, kwargs: {kwargs}"
)
def _extract_raw_esponse(last_response):
"""Extract the response from the last response of the LLM call."""
# We return the text of the response if not empty
if last_response.text is not None and last_response.text.strip() != "":
return last_response.text.strip()
elif hasattr(last_response, "message"):
# Additional kwargs contains the response in case of tool usage
return last_response.message.additional_kwargs
else:
# Not tool usage, some LLM responses can be simply empty
return ""
def _convert_message_to_dict(message: BaseMessage) -> Dict[str, Any]:
# assistant message
if isinstance(message, HumanMessage):
message_dict = {"role": "user", "content": message.content}
elif isinstance(message, AIMessage):
message_dict = {"role": "assistant", "content": message.content}
elif isinstance(message, SystemMessage):
message_dict = {"role": "system", "content": message.content}
elif isinstance(message, ToolMessage):
message_dict = {"role": "tool", "content": message.content}
elif isinstance(message, FunctionMessage):
message_dict = {"role": "function", "content": message.content}
else:
message_dict = {"role": message.type, "content": str(message.content)}
if message.additional_kwargs:
message_dict.update(message.additional_kwargs)
return message_dict
def _parse_usage_model(
usage: Union[BaseModel, Dict],
) -> Tuple[Union[int, None], Union[int, None]]:
if isinstance(usage, BaseModel):
usage = usage.__dict__
conversion_list = [
# https://pypi.org/project/langchain-anthropic/ (works also for Bedrock-Anthropic)
("input_tokens", "input"),
("output_tokens", "output"),
# https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/get-token-count
("prompt_token_count", "input"),
("candidates_token_count", "output"),
# Bedrock: https://docs.aws.amazon.com/bedrock/latest/userguide/monitoring-cw.html#runtime-cloudwatch-metrics
("inputTokenCount", "input"),
("outputTokenCount", "output"),
# langchain-ibm https://pypi.org/project/langchain-ibm/
("input_token_count", "input"),
("generated_token_count", "output"),
]
parsed_usage = {}
for model_key, type_key in conversion_list:
if model_key in usage:
captured_count = usage[model_key]
final_count = (
sum(captured_count) if isinstance(captured_count, list) else captured_count
) # For Bedrock, the token count is a list when streamed
parsed_usage[type_key] = final_count
return parsed_usage.get("input"), parsed_usage.get("output")
def _parse_usage(response: LLMResult):
# langchain-anthropic uses the usage field
llm_usage_keys = ["token_usage", "usage"]
llm_usage: Tuple[Union[int, None], Union[int, None]] = (None, None)
if response.llm_output is not None:
for key in llm_usage_keys:
if response.llm_output.get(key):
llm_usage = _parse_usage_model(response.llm_output[key])
break
if hasattr(response, "generations"):
for generation in response.generations:
for generation_chunk in generation:
if generation_chunk.generation_info and ("usage_metadata" in generation_chunk.generation_info):
llm_usage = _parse_usage_model(generation_chunk.generation_info["usage_metadata"])
break
message_chunk = getattr(generation_chunk, "message", {})
response_metadata = getattr(message_chunk, "response_metadata", {})
bedrock_anthropic_usage = (
response_metadata.get("usage", None) # for Bedrock-Anthropic
if isinstance(response_metadata, dict)
else None
)
bedrock_titan_usage = (
response_metadata.get("amazon-bedrock-invocationMetrics", None) # for Bedrock-Titan
if isinstance(response_metadata, dict)
else None
)
ollama_usage = getattr(message_chunk, "usage_metadata", None) # for Ollama
chunk_usage = bedrock_anthropic_usage or bedrock_titan_usage or ollama_usage
if chunk_usage:
llm_usage = _parse_usage_model(chunk_usage)
break
return llm_usage
def _get_http_status(error: BaseException) -> int:
# OpenAI: https://github.com/openai/openai-python/blob/main/src/openai/_exceptions.py
# Anthropic: https://github.com/anthropics/anthropic-sdk-python/blob/main/src/anthropic/_exceptions.py
# Google: https://github.com/googleapis/python-api-core/blob/main/google/api_core/exceptions.py
status_code = getattr(error, "status_code", getattr(error, "code", 0))
return status_code
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from .openai import OpenAI
from .openai_async import AsyncOpenAI
__all__ = ["OpenAI", "AsyncOpenAI"]
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@@ -0,0 +1,251 @@
import time
import uuid
from typing import Any, Dict, Optional
try:
import openai
import openai.resources
except ImportError:
raise ModuleNotFoundError("Please install the OpenAI SDK to use this feature: 'pip install openai'")
from posthog.ai.utils import call_llm_and_track_usage, get_model_params, with_privacy_mode
from posthog.client import Client as PostHogClient
class OpenAI(openai.OpenAI):
"""
A wrapper around the OpenAI SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
"""
Args:
api_key: OpenAI API key.
posthog_client: If provided, events will be captured via this client instead
of the global posthog.
**openai_config: Any additional keyword args to set on openai (e.g. organization="xxx").
"""
super().__init__(**kwargs)
self._ph_client = posthog_client
self.chat = WrappedChat(self)
self.embeddings = WrappedEmbeddings(self)
class WrappedChat(openai.resources.chat.Chat):
_client: OpenAI
@property
def completions(self):
return WrappedCompletions(self._client)
class WrappedCompletions(openai.resources.chat.completions.Completions):
_client: OpenAI
def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
if kwargs.get("stream", False):
return self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
return call_llm_and_track_usage(
posthog_distinct_id,
self._client._ph_client,
"openai",
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
self._client.base_url,
super().create,
**kwargs,
)
def _create_streaming(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
**kwargs: Any,
):
start_time = time.time()
usage_stats: Dict[str, int] = {}
accumulated_content = []
if "stream_options" not in kwargs:
kwargs["stream_options"] = {}
kwargs["stream_options"]["include_usage"] = True
response = super().create(**kwargs)
def generator():
nonlocal usage_stats
nonlocal accumulated_content
try:
for chunk in response:
if hasattr(chunk, "usage") and chunk.usage:
usage_stats = {
k: getattr(chunk.usage, k, 0)
for k in [
"prompt_tokens",
"completion_tokens",
"total_tokens",
]
}
if hasattr(chunk, "choices") and chunk.choices and len(chunk.choices) > 0:
content = chunk.choices[0].delta.content
if content:
accumulated_content.append(content)
yield chunk
finally:
end_time = time.time()
latency = end_time - start_time
output = "".join(accumulated_content)
self._capture_streaming_event(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
kwargs,
usage_stats,
latency,
output,
)
return generator()
def _capture_streaming_event(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
kwargs: Dict[str, Any],
usage_stats: Dict[str, int],
latency: float,
output: str,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
event_properties = {
"$ai_provider": "openai",
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(self._client._ph_client, posthog_privacy_mode, kwargs.get("messages")),
"$ai_output_choices": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
[{"content": output, "role": "assistant"}],
),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
"$ai_output_tokens": usage_stats.get("completion_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**posthog_properties,
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
class WrappedEmbeddings(openai.resources.embeddings.Embeddings):
_client: OpenAI
def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
"""
Create an embedding using OpenAI's 'embeddings.create' method, but also track usage in PostHog.
Args:
posthog_distinct_id: Optional ID to associate with the usage event.
posthog_trace_id: Optional trace UUID for linking events.
posthog_properties: Optional dictionary of extra properties to include in the event.
**kwargs: Any additional parameters for the OpenAI Embeddings API.
Returns:
The response from OpenAI's embeddings.create call.
"""
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
start_time = time.time()
response = super().create(**kwargs)
end_time = time.time()
# Extract usage statistics if available
usage_stats = {}
if hasattr(response, "usage") and response.usage:
usage_stats = {
"prompt_tokens": getattr(response.usage, "prompt_tokens", 0),
"total_tokens": getattr(response.usage, "total_tokens", 0),
}
latency = end_time - start_time
# Build the event properties
event_properties = {
"$ai_provider": "openai",
"$ai_model": kwargs.get("model"),
"$ai_input": with_privacy_mode(self._client._ph_client, posthog_privacy_mode, kwargs.get("input")),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**posthog_properties,
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
# Send capture event for embeddings
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_embedding",
properties=event_properties,
groups=posthog_groups,
)
return response
+250
View File
@@ -0,0 +1,250 @@
import time
import uuid
from typing import Any, Dict, Optional
try:
import openai
import openai.resources
except ImportError:
raise ModuleNotFoundError("Please install the OpenAI SDK to use this feature: 'pip install openai'")
from posthog.ai.utils import call_llm_and_track_usage_async, get_model_params, with_privacy_mode
from posthog.client import Client as PostHogClient
class AsyncOpenAI(openai.AsyncOpenAI):
"""
An async wrapper around the OpenAI SDK that automatically sends LLM usage events to PostHog.
"""
_ph_client: PostHogClient
def __init__(self, posthog_client: PostHogClient, **kwargs):
"""
Args:
api_key: OpenAI API key.
posthog_client: If provided, events will be captured via this client instance.
**openai_config: Additional keyword args (e.g. organization="xxx").
"""
super().__init__(**kwargs)
self._ph_client = posthog_client
self.chat = WrappedChat(self)
self.embeddings = WrappedEmbeddings(self)
class WrappedChat(openai.resources.chat.AsyncChat):
_client: AsyncOpenAI
@property
def completions(self):
return WrappedCompletions(self._client)
class WrappedCompletions(openai.resources.chat.completions.AsyncCompletions):
_client: AsyncOpenAI
async def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
# If streaming, handle streaming specifically
if kwargs.get("stream", False):
return await self._create_streaming(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
**kwargs,
)
response = await call_llm_and_track_usage_async(
posthog_distinct_id,
self._client._ph_client,
"openai",
posthog_trace_id,
posthog_properties,
self._client.base_url,
super().create,
**kwargs,
)
return response
async def _create_streaming(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
start_time = time.time()
usage_stats: Dict[str, int] = {}
accumulated_content = []
if "stream_options" not in kwargs:
kwargs["stream_options"] = {}
kwargs["stream_options"]["include_usage"] = True
response = await super().create(**kwargs)
async def async_generator():
nonlocal usage_stats, accumulated_content
try:
async for chunk in response:
if hasattr(chunk, "usage") and chunk.usage:
usage_stats = {
k: getattr(chunk.usage, k, 0)
for k in [
"prompt_tokens",
"completion_tokens",
"total_tokens",
]
}
if hasattr(chunk, "choices") and chunk.choices and len(chunk.choices) > 0:
content = chunk.choices[0].delta.content
if content:
accumulated_content.append(content)
yield chunk
finally:
end_time = time.time()
latency = end_time - start_time
output = "".join(accumulated_content)
await self._capture_streaming_event(
posthog_distinct_id,
posthog_trace_id,
posthog_properties,
posthog_privacy_mode,
posthog_groups,
kwargs,
usage_stats,
latency,
output,
)
return async_generator()
async def _capture_streaming_event(
self,
posthog_distinct_id: Optional[str],
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
kwargs: Dict[str, Any],
usage_stats: Dict[str, int],
latency: float,
output: str,
):
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
event_properties = {
"$ai_provider": "openai",
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(self._client._ph_client, posthog_privacy_mode, kwargs.get("messages")),
"$ai_output_choices": with_privacy_mode(
self._client._ph_client,
posthog_privacy_mode,
[{"content": output, "role": "assistant"}],
),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
"$ai_output_tokens": usage_stats.get("completion_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**posthog_properties,
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
class WrappedEmbeddings(openai.resources.embeddings.AsyncEmbeddings):
_client: AsyncOpenAI
async def create(
self,
posthog_distinct_id: Optional[str] = None,
posthog_trace_id: Optional[str] = None,
posthog_properties: Optional[Dict[str, Any]] = None,
posthog_privacy_mode: bool = False,
posthog_groups: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
"""
Create an embedding using OpenAI's 'embeddings.create' method, but also track usage in PostHog.
Args:
posthog_distinct_id: Optional ID to associate with the usage event.
posthog_trace_id: Optional trace UUID for linking events.
posthog_properties: Optional dictionary of extra properties to include in the event.
posthog_privacy_mode: Whether to store input and output in PostHog.
posthog_groups: Optional dictionary of groups to include in the event.
**kwargs: Any additional parameters for the OpenAI Embeddings API.
Returns:
The response from OpenAI's embeddings.create call.
"""
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
start_time = time.time()
response = await super().create(**kwargs)
end_time = time.time()
# Extract usage statistics if available
usage_stats = {}
if hasattr(response, "usage") and response.usage:
usage_stats = {
"prompt_tokens": getattr(response.usage, "prompt_tokens", 0),
"total_tokens": getattr(response.usage, "total_tokens", 0),
}
latency = end_time - start_time
# Build the event properties
event_properties = {
"$ai_provider": "openai",
"$ai_model": kwargs.get("model"),
"$ai_input": with_privacy_mode(self._client._ph_client, posthog_privacy_mode, kwargs.get("input")),
"$ai_http_status": 200,
"$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(self._client.base_url),
**posthog_properties,
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
# Send capture event for embeddings
if hasattr(self._client._ph_client, "capture"):
self._client._ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_embedding",
properties=event_properties,
groups=posthog_groups,
)
return response
+257
View File
@@ -0,0 +1,257 @@
import time
import uuid
from typing import Any, Callable, Dict, Optional
from httpx import URL
from posthog.client import Client as PostHogClient
def get_model_params(kwargs: Dict[str, Any]) -> Dict[str, Any]:
"""
Extracts model parameters from the kwargs dictionary.
"""
model_params = {}
for param in [
"temperature",
"max_tokens", # Deprecated field
"max_completion_tokens",
"top_p",
"frequency_penalty",
"presence_penalty",
"n",
"stop",
"stream", # OpenAI-specific field
"streaming", # Anthropic-specific field
]:
if param in kwargs and kwargs[param] is not None:
model_params[param] = kwargs[param]
return model_params
def get_usage(response, provider: str) -> Dict[str, Any]:
if provider == "anthropic":
return {
"input_tokens": response.usage.input_tokens,
"output_tokens": response.usage.output_tokens,
}
elif provider == "openai":
return {
"input_tokens": response.usage.prompt_tokens,
"output_tokens": response.usage.completion_tokens,
}
return {
"input_tokens": 0,
"output_tokens": 0,
}
def format_response(response, provider: str):
"""
Format a regular (non-streaming) response.
"""
output = []
if response is None:
return output
if provider == "anthropic":
return format_response_anthropic(response)
elif provider == "openai":
return format_response_openai(response)
return output
def format_response_anthropic(response):
output = []
for choice in response.content:
if choice.text:
output.append(
{
"role": "assistant",
"content": choice.text,
}
)
return output
def format_response_openai(response):
output = []
for choice in response.choices:
if choice.message.content:
output.append(
{
"content": choice.message.content,
"role": choice.message.role,
}
)
return output
def merge_system_prompt(kwargs: Dict[str, Any], provider: str):
if provider != "anthropic":
return kwargs.get("messages")
messages = kwargs.get("messages") or []
if kwargs.get("system") is None:
return messages
return [{"role": "system", "content": kwargs.get("system")}] + messages
def call_llm_and_track_usage(
posthog_distinct_id: Optional[str],
ph_client: PostHogClient,
provider: str,
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
base_url: URL,
call_method: Callable[..., Any],
**kwargs: Any,
) -> Any:
"""
Common usage-tracking logic for both sync and async calls.
call_method: the llm call method (e.g. openai.chat.completions.create)
"""
start_time = time.time()
response = None
error = None
http_status = 200
usage: Dict[str, Any] = {}
error_params: Dict[str, any] = {}
try:
response = call_method(**kwargs)
except Exception as exc:
error = exc
http_status = getattr(exc, "status_code", 0) # default to 0 becuase its likely an SDK error
error_params = {
"$ai_is_error": True,
"$ai_error": exc.__str__(),
}
finally:
end_time = time.time()
latency = end_time - start_time
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
if response and hasattr(response, "usage"):
usage = get_usage(response, provider)
messages = merge_system_prompt(kwargs, provider)
event_properties = {
"$ai_provider": provider,
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(ph_client, posthog_privacy_mode, messages),
"$ai_output_choices": with_privacy_mode(
ph_client, posthog_privacy_mode, format_response(response, provider)
),
"$ai_http_status": http_status,
"$ai_input_tokens": usage.get("input_tokens", 0),
"$ai_output_tokens": usage.get("output_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(base_url),
**(posthog_properties or {}),
**(error_params or {}),
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
# send the event to posthog
if hasattr(ph_client, "capture") and callable(ph_client.capture):
ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
if error:
raise error
return response
async def call_llm_and_track_usage_async(
posthog_distinct_id: Optional[str],
ph_client: PostHogClient,
provider: str,
posthog_trace_id: Optional[str],
posthog_properties: Optional[Dict[str, Any]],
posthog_privacy_mode: bool,
posthog_groups: Optional[Dict[str, Any]],
base_url: URL,
call_async_method: Callable[..., Any],
**kwargs: Any,
) -> Any:
start_time = time.time()
response = None
error = None
http_status = 200
usage: Dict[str, Any] = {}
error_params: Dict[str, any] = {}
try:
response = await call_async_method(**kwargs)
except Exception as exc:
error = exc
http_status = getattr(exc, "status_code", 0) # default to 0 because its likely an SDK error
error_params = {
"$ai_is_error": True,
"$ai_error": exc.__str__(),
}
finally:
end_time = time.time()
latency = end_time - start_time
if posthog_trace_id is None:
posthog_trace_id = uuid.uuid4()
if response and hasattr(response, "usage"):
usage = get_usage(response, provider)
messages = merge_system_prompt(kwargs, provider)
event_properties = {
"$ai_provider": provider,
"$ai_model": kwargs.get("model"),
"$ai_model_parameters": get_model_params(kwargs),
"$ai_input": with_privacy_mode(ph_client, posthog_privacy_mode, messages),
"$ai_output_choices": with_privacy_mode(
ph_client, posthog_privacy_mode, format_response(response, provider)
),
"$ai_http_status": http_status,
"$ai_input_tokens": usage.get("input_tokens", 0),
"$ai_output_tokens": usage.get("output_tokens", 0),
"$ai_latency": latency,
"$ai_trace_id": posthog_trace_id,
"$ai_base_url": str(base_url),
**(posthog_properties or {}),
**(error_params or {}),
}
if posthog_distinct_id is None:
event_properties["$process_person_profile"] = False
# send the event to posthog
if hasattr(ph_client, "capture") and callable(ph_client.capture):
ph_client.capture(
distinct_id=posthog_distinct_id or posthog_trace_id,
event="$ai_generation",
properties=event_properties,
groups=posthog_groups,
)
if error:
raise error
return response
def with_privacy_mode(ph_client: PostHogClient, privacy_mode: bool, value: Any):
if ph_client.privacy_mode or privacy_mode:
return None
return value
+328 -56
View File
@@ -1,17 +1,21 @@
import atexit
import logging
import numbers
import os
import sys
from datetime import datetime, timedelta
from uuid import UUID
from uuid import UUID, uuid4
from dateutil.tz import tzutc
from six import string_types
from posthog.consumer import Consumer
from posthog.exception_capture import ExceptionCapture
from posthog.exception_utils import exc_info_from_error, exceptions_from_error_tuple, handle_in_app
from posthog.feature_flags import InconclusiveMatchError, match_feature_flag_properties
from posthog.poller import Poller
from posthog.request import APIError, batch_post, decide, get
from posthog.utils import SizeLimitedDict, clean, guess_timezone
from posthog.request import DEFAULT_HOST, APIError, batch_post, decide, determine_server_host, get
from posthog.utils import SizeLimitedDict, clean, guess_timezone, remove_trailing_slash
from posthog.version import VERSION
try:
@@ -47,6 +51,15 @@ class Client(object):
poll_interval=30,
personal_api_key=None,
project_api_key=None,
disabled=False,
disable_geoip=True,
historical_migration=False,
feature_flags_request_timeout_seconds=3,
super_properties=None,
enable_exception_autocapture=False,
exception_autocapture_integrations=None,
project_root=None,
privacy_mode=False,
):
self.queue = queue.Queue(max_queue_size)
@@ -59,7 +72,9 @@ class Client(object):
self.debug = debug
self.send = send
self.sync_mode = sync_mode
self.host = host
# Used for session replay URL generation - we don't want the server host here.
self.raw_host = host or DEFAULT_HOST
self.host = determine_server_host(host)
self.gzip = gzip
self.timeout = timeout
self.feature_flags = None
@@ -67,8 +82,25 @@ class Client(object):
self.group_type_mapping = None
self.cohorts = None
self.poll_interval = poll_interval
self.feature_flags_request_timeout_seconds = feature_flags_request_timeout_seconds
self.poller = None
self.distinct_ids_feature_flags_reported = SizeLimitedDict(MAX_DICT_SIZE, set)
self.disabled = disabled
self.disable_geoip = disable_geoip
self.historical_migration = historical_migration
self.super_properties = super_properties
self.enable_exception_autocapture = enable_exception_autocapture
self.exception_autocapture_integrations = exception_autocapture_integrations
self.exception_capture = None
self.privacy_mode = privacy_mode
if project_root is None:
try:
project_root = os.getcwd()
except Exception:
project_root = None
self.project_root = project_root
# personal_api_key: This should be a generated Personal API Key, private
self.personal_api_key = personal_api_key
@@ -80,6 +112,9 @@ class Client(object):
else:
self.log.setLevel(logging.WARNING)
if self.enable_exception_autocapture:
self.exception_capture = ExceptionCapture(self, integrations=self.exception_autocapture_integrations)
if sync_mode:
self.consumers = None
else:
@@ -96,13 +131,14 @@ class Client(object):
consumer = Consumer(
self.queue,
self.api_key,
host=host,
host=self.host,
on_error=on_error,
flush_at=flush_at,
flush_interval=flush_interval,
gzip=gzip,
retries=max_retries,
timeout=timeout,
historical_migration=historical_migration,
)
self.consumers.append(consumer)
@@ -110,7 +146,7 @@ class Client(object):
if send:
consumer.start()
def identify(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None):
def identify(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None, disable_geoip=None):
properties = properties or {}
context = context or {}
require("distinct_id", distinct_id, ID_TYPES)
@@ -125,25 +161,35 @@ class Client(object):
"uuid": uuid,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def get_feature_variants(self, distinct_id, groups=None, person_properties=None, group_properties=None):
resp_data = self.get_decide(distinct_id, groups, person_properties, group_properties)
def get_feature_variants(
self, distinct_id, groups=None, person_properties=None, group_properties=None, disable_geoip=None
):
resp_data = self.get_decide(distinct_id, groups, person_properties, group_properties, disable_geoip)
return resp_data["featureFlags"]
def _get_active_feature_variants(self, distinct_id, groups=None, person_properties=None, group_properties=None):
feature_variants = self.get_feature_variants(distinct_id, groups, person_properties, group_properties)
return {
k: v for (k, v) in feature_variants.items() if v is not False
} # explicitly test for false to account for values that may seem falsy (ex: 0)
def get_feature_payloads(self, distinct_id, groups=None, person_properties=None, group_properties=None):
resp_data = self.get_decide(distinct_id, groups, person_properties, group_properties)
def get_feature_payloads(
self, distinct_id, groups=None, person_properties=None, group_properties=None, disable_geoip=None
):
resp_data = self.get_decide(distinct_id, groups, person_properties, group_properties, disable_geoip)
return resp_data["featureFlagPayloads"]
def get_decide(self, distinct_id, groups=None, person_properties=None, group_properties=None):
def get_feature_flags_and_payloads(
self, distinct_id, groups=None, person_properties=None, group_properties=None, disable_geoip=None
):
resp_data = self.get_decide(distinct_id, groups, person_properties, group_properties, disable_geoip)
return {
"featureFlags": resp_data["featureFlags"],
"featureFlagPayloads": resp_data["featureFlagPayloads"],
}
def get_decide(self, distinct_id, groups=None, person_properties=None, group_properties=None, disable_geoip=None):
require("distinct_id", distinct_id, ID_TYPES)
if disable_geoip is None:
disable_geoip = self.disable_geoip
if groups:
require("groups", groups, dict)
else:
@@ -154,8 +200,9 @@ class Client(object):
"groups": groups,
"person_properties": person_properties,
"group_properties": group_properties,
"disable_geoip": disable_geoip,
}
resp_data = decide(self.api_key, self.host, timeout=10, **request_data)
resp_data = decide(self.api_key, self.host, timeout=self.feature_flags_request_timeout_seconds, **request_data)
return resp_data
@@ -169,6 +216,7 @@ class Client(object):
uuid=None,
groups=None,
send_feature_flags=False,
disable_geoip=None,
):
properties = properties or {}
context = context or {}
@@ -189,19 +237,33 @@ class Client(object):
require("groups", groups, dict)
msg["properties"]["$groups"] = groups
extra_properties = {}
feature_variants = {}
if send_feature_flags:
try:
feature_variants = self._get_active_feature_variants(distinct_id, groups)
feature_variants = self.get_feature_variants(distinct_id, groups, disable_geoip=disable_geoip)
except Exception as e:
self.log.exception(f"[FEATURE FLAGS] Unable to get feature variants: {e}")
else:
for feature, variant in feature_variants.items():
msg["properties"]["$feature/{}".format(feature)] = variant
msg["properties"]["$active_feature_flags"] = list(feature_variants.keys())
return self._enqueue(msg)
elif self.feature_flags:
# Local evaluation is enabled, flags are loaded, so try and get all flags we can without going to the server
feature_variants = self.get_all_flags(
distinct_id, groups=(groups or {}), disable_geoip=disable_geoip, only_evaluate_locally=True
)
def set(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None):
for feature, variant in feature_variants.items():
extra_properties[f"$feature/{feature}"] = variant
active_feature_flags = [key for (key, value) in feature_variants.items() if value is not False]
if active_feature_flags:
extra_properties["$active_feature_flags"] = active_feature_flags
if extra_properties:
msg["properties"] = {**extra_properties, **msg["properties"]}
return self._enqueue(msg, disable_geoip)
def set(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None, disable_geoip=None):
properties = properties or {}
context = context or {}
require("distinct_id", distinct_id, ID_TYPES)
@@ -216,9 +278,9 @@ class Client(object):
"uuid": uuid,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def set_once(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None):
def set_once(self, distinct_id=None, properties=None, context=None, timestamp=None, uuid=None, disable_geoip=None):
properties = properties or {}
context = context or {}
require("distinct_id", distinct_id, ID_TYPES)
@@ -233,15 +295,30 @@ class Client(object):
"uuid": uuid,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def group_identify(self, group_type=None, group_key=None, properties=None, context=None, timestamp=None, uuid=None):
def group_identify(
self,
group_type=None,
group_key=None,
properties=None,
context=None,
timestamp=None,
uuid=None,
disable_geoip=None,
distinct_id=None,
):
properties = properties or {}
context = context or {}
require("group_type", group_type, ID_TYPES)
require("group_key", group_key, ID_TYPES)
require("properties", properties, dict)
if distinct_id:
require("distinct_id", distinct_id, ID_TYPES)
else:
distinct_id = "${}_{}".format(group_type, group_key)
msg = {
"event": "$groupidentify",
"properties": {
@@ -249,15 +326,15 @@ class Client(object):
"$group_key": group_key,
"$group_set": properties,
},
"distinct_id": "${}_{}".format(group_type, group_key),
"distinct_id": distinct_id,
"timestamp": timestamp,
"context": context,
"uuid": uuid,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def alias(self, previous_id=None, distinct_id=None, context=None, timestamp=None, uuid=None):
def alias(self, previous_id=None, distinct_id=None, context=None, timestamp=None, uuid=None, disable_geoip=None):
context = context or {}
require("previous_id", previous_id, ID_TYPES)
@@ -274,9 +351,11 @@ class Client(object):
"distinct_id": previous_id,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def page(self, distinct_id=None, url=None, properties=None, context=None, timestamp=None, uuid=None):
def page(
self, distinct_id=None, url=None, properties=None, context=None, timestamp=None, uuid=None, disable_geoip=None
):
properties = properties or {}
context = context or {}
@@ -295,13 +374,76 @@ class Client(object):
"uuid": uuid,
}
return self._enqueue(msg)
return self._enqueue(msg, disable_geoip)
def _enqueue(self, msg):
def capture_exception(
self,
exception=None,
distinct_id=None,
properties=None,
context=None,
timestamp=None,
uuid=None,
groups=None,
):
# this function shouldn't ever throw an error, so it logs exceptions instead of raising them.
# this is important to ensure we don't unexpectedly re-raise exceptions in the user's code.
try:
properties = properties or {}
# if there's no distinct_id, we'll generate one and set personless mode
# via $process_person_profile = false
if distinct_id is None:
properties["$process_person_profile"] = False
distinct_id = uuid4()
require("distinct_id", distinct_id, ID_TYPES)
require("properties", properties, dict)
if exception is not None:
exc_info = exc_info_from_error(exception)
else:
exc_info = sys.exc_info()
if exc_info is None or exc_info == (None, None, None):
self.log.warning("No exception information available")
return
# Format stack trace for cymbal
all_exceptions_with_trace = exceptions_from_error_tuple(exc_info)
# Add in-app property to frames in the exceptions
event = handle_in_app(
{
"exception": {
"values": all_exceptions_with_trace,
},
},
project_root=self.project_root,
)
all_exceptions_with_trace_and_in_app = event["exception"]["values"]
properties = {
"$exception_type": all_exceptions_with_trace_and_in_app[0].get("type"),
"$exception_message": all_exceptions_with_trace_and_in_app[0].get("value"),
"$exception_list": all_exceptions_with_trace_and_in_app,
"$exception_personURL": f"{remove_trailing_slash(self.raw_host)}/project/{self.api_key}/person/{distinct_id}",
**properties,
}
return self.capture(distinct_id, "$exception", properties, context, timestamp, uuid, groups)
except Exception as e:
self.log.exception(f"Failed to capture exception: {e}")
def _enqueue(self, msg, disable_geoip):
"""Push a new `msg` onto the queue, return `(success, msg)`"""
if self.disabled:
return False, "disabled"
timestamp = msg["timestamp"]
if timestamp is None:
timestamp = datetime.utcnow().replace(tzinfo=tzutc())
timestamp = datetime.now(tz=tzutc())
require("timestamp", timestamp, datetime)
require("context", msg["context"], dict)
@@ -321,6 +463,15 @@ class Client(object):
msg["properties"]["$lib"] = "posthog-python"
msg["properties"]["$lib_version"] = VERSION
if disable_geoip is None:
disable_geoip = self.disable_geoip
if disable_geoip:
msg["properties"]["$geoip_disable"] = True
if self.super_properties:
msg["properties"] = {**msg["properties"], **self.super_properties}
msg["distinct_id"] = stringify_id(msg.get("distinct_id", None))
msg = clean(msg)
@@ -332,7 +483,14 @@ class Client(object):
if self.sync_mode:
self.log.debug("enqueued with blocking %s.", msg["event"])
batch_post(self.api_key, self.host, gzip=self.gzip, timeout=self.timeout, batch=[msg])
batch_post(
self.api_key,
self.host,
gzip=self.gzip,
timeout=self.timeout,
batch=[msg],
historical_migration=self.historical_migration,
)
return True, msg
@@ -372,6 +530,9 @@ class Client(object):
self.flush()
self.join()
if self.exception_capture:
self.exception_capture.close()
def _load_feature_flags(self):
try:
response = get(
@@ -409,7 +570,7 @@ class Client(object):
)
self.log.warning(e)
self._last_feature_flag_poll = datetime.utcnow().replace(tzinfo=tzutc())
self._last_feature_flag_poll = datetime.now(tz=tzutc())
def load_feature_flags(self):
if not self.personal_api_key:
@@ -422,7 +583,16 @@ class Client(object):
self.poller = Poller(interval=timedelta(seconds=self.poll_interval), execute=self._load_feature_flags)
self.poller.start()
def _compute_flag_locally(self, feature_flag, distinct_id, *, groups={}, person_properties={}, group_properties={}):
def _compute_flag_locally(
self,
feature_flag,
distinct_id,
*,
groups={},
person_properties={},
group_properties={},
warn_on_unknown_groups=True,
):
if feature_flag.get("ensure_experience_continuity", False):
raise InconclusiveMatchError("Flag has experience continuity enabled")
@@ -444,9 +614,14 @@ class Client(object):
if group_name not in groups:
# Group flags are never enabled in `groups` aren't passed in
# don't failover to `/decide/`, since response will be the same
self.log.warning(
f"[FEATURE FLAGS] Can't compute group feature flag: {feature_flag['key']} without group names passed in"
)
if warn_on_unknown_groups:
self.log.warning(
f"[FEATURE FLAGS] Can't compute group feature flag: {feature_flag['key']} without group names passed in"
)
else:
self.log.debug(
f"[FEATURE FLAGS] Can't compute group feature flag: {feature_flag['key']} without group names passed in"
)
return False
focused_group_properties = group_properties[group_name]
@@ -464,6 +639,7 @@ class Client(object):
group_properties={},
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None,
):
response = self.get_feature_flag(
key,
@@ -473,6 +649,7 @@ class Client(object):
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
send_feature_flag_events=send_feature_flag_events,
disable_geoip=disable_geoip,
)
if response is None:
@@ -489,11 +666,19 @@ class Client(object):
group_properties={},
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None,
):
require("key", key, string_types)
require("distinct_id", distinct_id, ID_TYPES)
require("groups", groups, dict)
if self.disabled:
return None
person_properties, group_properties = self._add_local_person_and_group_properties(
distinct_id, groups, person_properties, group_properties
)
if self.feature_flags is None and self.personal_api_key:
self.load_feature_flags()
response = None
@@ -522,7 +707,11 @@ class Client(object):
if not flag_was_locally_evaluated and not only_evaluate_locally:
try:
feature_flags = self.get_feature_variants(
distinct_id, groups=groups, person_properties=person_properties, group_properties=group_properties
distinct_id,
groups=groups,
person_properties=person_properties,
group_properties=group_properties,
disable_geoip=disable_geoip,
)
response = feature_flags.get(key)
if response is None:
@@ -543,8 +732,10 @@ class Client(object):
"$feature_flag": key,
"$feature_flag_response": response,
"locally_evaluated": flag_was_locally_evaluated,
f"$feature/{key}": response,
},
groups=groups,
disable_geoip=disable_geoip,
)
self.distinct_ids_feature_flags_reported[distinct_id].add(feature_flag_reported_key)
return response
@@ -560,7 +751,11 @@ class Client(object):
group_properties={},
only_evaluate_locally=False,
send_feature_flag_events=True,
disable_geoip=None,
):
if self.disabled:
return None
if match_value is None:
match_value = self.get_feature_flag(
key,
@@ -568,20 +763,52 @@ class Client(object):
groups=groups,
person_properties=person_properties,
group_properties=group_properties,
send_feature_flag_events=send_feature_flag_events,
only_evaluate_locally=True,
send_feature_flag_events=False,
# Disable automatic sending of feature flag events because we're manually handling event dispatch.
# This prevents sending events with empty data when `get_feature_flag` cannot be evaluated locally.
only_evaluate_locally=True, # Enable local evaluation of feature flags to avoid making multiple requests to `/decide`.
disable_geoip=disable_geoip,
)
response = None
payload = None
if match_value is not None:
response = self._compute_payload_locally(key, match_value)
payload = self._compute_payload_locally(key, match_value)
if response is None and not only_evaluate_locally:
decide_payloads = self.get_feature_payloads(distinct_id, groups, person_properties, group_properties)
response = decide_payloads.get(str(key).lower(), None)
flag_was_locally_evaluated = payload is not None
if not flag_was_locally_evaluated and not only_evaluate_locally:
try:
responses_and_payloads = self.get_feature_flags_and_payloads(
distinct_id, groups, person_properties, group_properties, disable_geoip
)
response = responses_and_payloads["featureFlags"].get(key, None)
payload = responses_and_payloads["featureFlagPayloads"].get(str(key).lower(), None)
except Exception as e:
self.log.exception(f"[FEATURE FLAGS] Unable to get feature flags and payloads: {e}")
return response
feature_flag_reported_key = f"{key}_{str(response)}"
if (
feature_flag_reported_key not in self.distinct_ids_feature_flags_reported[distinct_id]
and send_feature_flag_events # noqa: W503
):
self.capture(
distinct_id,
"$feature_flag_called",
{
"$feature_flag": key,
"$feature_flag_response": response,
"$feature_flag_payload": payload,
"locally_evaluated": flag_was_locally_evaluated,
f"$feature/{key}": response,
},
groups=groups,
disable_geoip=disable_geoip,
)
self.distinct_ids_feature_flags_reported[distinct_id].add(feature_flag_reported_key)
return payload
def _compute_payload_locally(self, key, match_value):
payload = None
@@ -596,7 +823,14 @@ class Client(object):
return payload
def get_all_flags(
self, distinct_id, *, groups={}, person_properties={}, group_properties={}, only_evaluate_locally=False
self,
distinct_id,
*,
groups={},
person_properties={},
group_properties={},
only_evaluate_locally=False,
disable_geoip=None,
):
flags = self.get_all_flags_and_payloads(
distinct_id,
@@ -604,12 +838,27 @@ class Client(object):
person_properties=person_properties,
group_properties=group_properties,
only_evaluate_locally=only_evaluate_locally,
disable_geoip=disable_geoip,
)
return flags["featureFlags"]
def get_all_flags_and_payloads(
self, distinct_id, *, groups={}, person_properties={}, group_properties={}, only_evaluate_locally=False
self,
distinct_id,
*,
groups={},
person_properties={},
group_properties={},
only_evaluate_locally=False,
disable_geoip=None,
):
if self.disabled:
return {"featureFlags": None, "featureFlagPayloads": None}
person_properties, group_properties = self._add_local_person_and_group_properties(
distinct_id, groups, person_properties, group_properties
)
flags, payloads, fallback_to_decide = self._get_all_flags_and_payloads_locally(
distinct_id, groups=groups, person_properties=person_properties, group_properties=group_properties
)
@@ -618,7 +867,11 @@ class Client(object):
if fallback_to_decide and not only_evaluate_locally:
try:
flags_and_payloads = self.get_decide(
distinct_id, groups=groups, person_properties=person_properties, group_properties=group_properties
distinct_id,
groups=groups,
person_properties=person_properties,
group_properties=group_properties,
disable_geoip=disable_geoip,
)
response = flags_and_payloads
except Exception as e:
@@ -626,7 +879,9 @@ class Client(object):
return response
def _get_all_flags_and_payloads_locally(self, distinct_id, *, groups={}, person_properties={}, group_properties={}):
def _get_all_flags_and_payloads_locally(
self, distinct_id, *, groups={}, person_properties={}, group_properties={}, warn_on_unknown_groups=False
):
require("distinct_id", distinct_id, ID_TYPES)
require("groups", groups, dict)
@@ -646,6 +901,7 @@ class Client(object):
groups=groups,
person_properties=person_properties,
group_properties=group_properties,
warn_on_unknown_groups=warn_on_unknown_groups,
)
matched_payload = self._compute_payload_locally(flag["key"], flags[flag["key"]])
if matched_payload:
@@ -661,6 +917,22 @@ class Client(object):
return flags, payloads, fallback_to_decide
def feature_flag_definitions(self):
return self.feature_flags
def _add_local_person_and_group_properties(self, distinct_id, groups, person_properties, group_properties):
all_person_properties = {"distinct_id": distinct_id, **(person_properties or {})}
all_group_properties = {}
if groups:
for group_name in groups:
all_group_properties[group_name] = {
"$group_key": groups[group_name],
**(group_properties.get(group_name) or {}),
}
return all_person_properties, all_group_properties
def require(name, field, data_type):
"""Require that the named `field` has the right `data_type`"""
+16 -6
View File
@@ -12,11 +12,12 @@ try:
except ImportError:
from Queue import Empty
MAX_MSG_SIZE = 32 << 10
# Our servers only accept batches less than 500KB. Here limit is set slightly
# lower to leave space for extra data that will be added later, eg. "sentAt".
BATCH_SIZE_LIMIT = 475000
MAX_MSG_SIZE = 900 * 1024 # 900KiB per event
# The maximum request body size is currently 20MiB, let's be conservative
# in case we want to lower it in the future.
BATCH_SIZE_LIMIT = 5 * 1024 * 1024
class Consumer(Thread):
@@ -35,6 +36,7 @@ class Consumer(Thread):
gzip=False,
retries=10,
timeout=15,
historical_migration=False,
):
"""Create a consumer thread."""
Thread.__init__(self)
@@ -54,6 +56,7 @@ class Consumer(Thread):
self.running = True
self.retries = retries
self.timeout = timeout
self.historical_migration = historical_migration
def run(self):
"""Runs the consumer."""
@@ -104,7 +107,7 @@ class Consumer(Thread):
item = queue.get(block=True, timeout=self.flush_interval - elapsed)
item_size = len(json.dumps(item, cls=DatetimeSerializer).encode())
if item_size > MAX_MSG_SIZE:
self.log.error("Item exceeds 32kb limit, dropping. (%s)", str(item))
self.log.error("Item exceeds 900kib limit, dropping. (%s)", str(item))
continue
items.append(item)
total_size += item_size
@@ -133,6 +136,13 @@ class Consumer(Thread):
@backoff.on_exception(backoff.expo, Exception, max_tries=self.retries + 1, giveup=fatal_exception)
def send_request():
batch_post(self.api_key, self.host, gzip=self.gzip, timeout=self.timeout, batch=batch)
batch_post(
self.api_key,
self.host,
gzip=self.gzip,
timeout=self.timeout,
batch=batch,
historical_migration=self.historical_migration,
)
send_request()
+64
View File
@@ -0,0 +1,64 @@
import logging
import sys
import threading
from enum import Enum
from typing import TYPE_CHECKING, List, Optional
if TYPE_CHECKING:
from posthog.client import Client
class Integrations(str, Enum):
Django = "django"
class ExceptionCapture:
# TODO: Add client side rate limiting to prevent spamming the server with exceptions
log = logging.getLogger("posthog")
def __init__(self, client: "Client", integrations: Optional[List[Integrations]] = None):
self.client = client
self.original_excepthook = sys.excepthook
sys.excepthook = self.exception_handler
threading.excepthook = self.thread_exception_handler
self.enabled_integrations = []
for integration in integrations or []:
# TODO: Maybe find a better way of enabling integrations
# This is very annoying currently if we had to add any configuration per integration
if integration == Integrations.Django:
try:
from posthog.exception_integrations.django import DjangoIntegration
enabled_integration = DjangoIntegration(self.exception_receiver)
self.enabled_integrations.append(enabled_integration)
except Exception as e:
self.log.exception(f"Failed to enable Django integration: {e}")
def close(self):
sys.excepthook = self.original_excepthook
for integration in self.enabled_integrations:
integration.uninstall()
def exception_handler(self, exc_type, exc_value, exc_traceback):
# don't affect default behaviour.
self.capture_exception((exc_type, exc_value, exc_traceback))
self.original_excepthook(exc_type, exc_value, exc_traceback)
def thread_exception_handler(self, args):
self.capture_exception((args.exc_type, args.exc_value, args.exc_traceback))
def exception_receiver(self, exc_info, extra_properties):
if "distinct_id" in extra_properties:
metadata = {"distinct_id": extra_properties["distinct_id"]}
else:
metadata = None
self.capture_exception((exc_info[0], exc_info[1], exc_info[2]), metadata)
def capture_exception(self, exception, metadata=None):
try:
distinct_id = metadata.get("distinct_id") if metadata else None
self.client.capture_exception(exception, distinct_id)
except Exception as e:
self.log.exception(f"Failed to capture exception: {e}")
@@ -0,0 +1,5 @@
class IntegrationEnablingError(Exception):
"""
The integration could not be enabled due to a user error like
`django` not being installed for the `DjangoIntegration`.
"""
+88
View File
@@ -0,0 +1,88 @@
import re
import sys
from typing import TYPE_CHECKING
from posthog.exception_integrations import IntegrationEnablingError
try:
from django import VERSION as DJANGO_VERSION
from django.core import signals
except ImportError:
raise IntegrationEnablingError("Django not installed")
if TYPE_CHECKING:
from typing import Any, Dict # noqa: F401
from django.core.handlers.wsgi import WSGIRequest # noqa: F401
class DjangoIntegration:
# TODO: Abstract integrations one we have more and can see patterns
"""
Autocapture errors from a Django application.
"""
identifier = "django"
def __init__(self, capture_exception_fn=None):
if DJANGO_VERSION < (4, 2):
raise IntegrationEnablingError("Django 4.2 or newer is required.")
# TODO: Right now this seems too complicated / overkill for us, but seems like we can automatically plug in middlewares
# which is great for users (they don't need to do this) and everything should just work.
# We should consider this in the future, but for now we can just use the middleware and signals handlers.
# See: https://github.com/getsentry/sentry-python/blob/269d96d6e9821122fbff280e6a26956e5ed03c0b/sentry_sdk/integrations/django/__init__.py
self.capture_exception_fn = capture_exception_fn
def _got_request_exception(request=None, **kwargs):
# type: (WSGIRequest, **Any) -> None
extra_props = {}
if request is not None:
# get headers metadata
extra_props = DjangoRequestExtractor(request).extract_person_data()
self.capture_exception_fn(sys.exc_info(), extra_props)
signals.got_request_exception.connect(_got_request_exception)
def uninstall(self):
pass
class DjangoRequestExtractor:
def __init__(self, request):
# type: (Any) -> None
self.request = request
def extract_person_data(self):
headers = self.headers()
# Extract traceparent and tracestate headers
traceparent = headers.get("traceparent")
tracestate = headers.get("tracestate")
# Extract the distinct_id from tracestate
distinct_id = None
if tracestate:
# TODO: Align on the format of the distinct_id in tracestate
# We can't have comma or equals in header values here, so maybe we should base64 encode it?
match = re.search(r"posthog-distinct-id=([^,]+)", tracestate)
if match:
distinct_id = match.group(1)
return {
"distinct_id": distinct_id,
"ip": headers.get("X-Forwarded-For"),
"user_agent": headers.get("User-Agent"),
"traceparent": traceparent,
}
def headers(self):
# type: () -> Dict[str, str]
return dict(self.request.headers)
+873
View File
@@ -0,0 +1,873 @@
# copied and adapted from https://github.com/getsentry/sentry-python/blob/269d96d6e9821122fbff280e6a26956e5ed03c0b/sentry_sdk/utils.py#L689
# 💖open source (under MIT License)
# We want to keep payloads as similar to Sentry as possible for easy interoperability
import linecache
import os
import re
import sys
from datetime import datetime
from typing import TYPE_CHECKING
try:
# Python 3.11
from builtins import BaseExceptionGroup
except ImportError:
# Python 3.10 and below
BaseExceptionGroup = None # type: ignore
DEFAULT_MAX_VALUE_LENGTH = 1024
if TYPE_CHECKING:
from types import FrameType, TracebackType
from typing import ( # noqa: F401
Any,
Callable,
Dict,
Iterator,
List,
Literal,
Optional,
Set,
Tuple,
Type,
TypedDict,
TypeVar,
Union,
cast,
)
ExcInfo = Union[
Tuple[Type[BaseException], BaseException, Optional[TracebackType]],
Tuple[None, None, None],
]
LogLevelStr = Literal["fatal", "critical", "error", "warning", "info", "debug"]
Event = TypedDict(
"Event",
{
"breadcrumbs": Dict[Literal["values"], List[Dict[str, Any]]], # TODO: We can expand on this type
"check_in_id": str,
"contexts": Dict[str, Dict[str, object]],
"dist": str,
"duration": Optional[float],
"environment": str,
"errors": List[Dict[str, Any]], # TODO: We can expand on this type
"event_id": str,
"exception": Dict[Literal["values"], List[Dict[str, Any]]], # TODO: We can expand on this type
# "extra": MutableMapping[str, object],
# "fingerprint": List[str],
"level": LogLevelStr,
# "logentry": Mapping[str, object],
"logger": str,
# "measurements": Dict[str, MeasurementValue],
"message": str,
"modules": Dict[str, str],
# "monitor_config": Mapping[str, object],
"monitor_slug": Optional[str],
"platform": Literal["python"],
"profile": object, # Should be sentry_sdk.profiler.Profile, but we can't import that here due to circular imports
"release": str,
"request": Dict[str, object],
# "sdk": Mapping[str, object],
"server_name": str,
"spans": List[Dict[str, object]],
"stacktrace": Dict[str, object], # We access this key in the code, but I am unsure whether we ever set it
"start_timestamp": datetime,
"status": Optional[str],
# "tags": MutableMapping[
# str, str
# ], # Tags must be less than 200 characters each
"threads": Dict[Literal["values"], List[Dict[str, Any]]], # TODO: We can expand on this type
"timestamp": Optional[datetime], # Must be set before sending the event
"transaction": str,
# "transaction_info": Mapping[str, Any], # TODO: We can expand on this type
"type": Literal["check_in", "transaction"],
"user": Dict[str, object],
"_metrics_summary": Dict[str, object],
},
total=False,
)
epoch = datetime(1970, 1, 1)
BASE64_ALPHABET = re.compile(r"^[a-zA-Z0-9/+=]*$")
SENSITIVE_DATA_SUBSTITUTE = "[Filtered]"
def to_timestamp(value):
# type: (datetime) -> float
return (value - epoch).total_seconds()
def format_timestamp(value):
# type: (datetime) -> str
return value.strftime("%Y-%m-%dT%H:%M:%S.%fZ")
def event_hint_with_exc_info(exc_info=None):
# type: (Optional[ExcInfo]) -> Dict[str, Optional[ExcInfo]]
"""Creates a hint with the exc info filled in."""
if exc_info is None:
exc_info = sys.exc_info()
else:
exc_info = exc_info_from_error(exc_info)
if exc_info[0] is None:
exc_info = None
return {"exc_info": exc_info}
class AnnotatedValue:
"""
Meta information for a data field in the event payload.
This is to tell Relay that we have tampered with the fields value.
See:
https://github.com/getsentry/relay/blob/be12cd49a0f06ea932ed9b9f93a655de5d6ad6d1/relay-general/src/types/meta.rs#L407-L423
"""
__slots__ = ("value", "metadata")
def __init__(self, value, metadata):
# type: (Optional[Any], Dict[str, Any]) -> None
self.value = value
self.metadata = metadata
def __eq__(self, other):
# type: (Any) -> bool
if not isinstance(other, AnnotatedValue):
return False
return self.value == other.value and self.metadata == other.metadata
@classmethod
def removed_because_raw_data(cls):
# type: () -> AnnotatedValue
"""The value was removed because it could not be parsed. This is done for request body values that are not json nor a form."""
return AnnotatedValue(
value="",
metadata={
"rem": [ # Remark
[
"!raw", # Unparsable raw data
"x", # The fields original value was removed
]
]
},
)
@classmethod
def removed_because_over_size_limit(cls):
# type: () -> AnnotatedValue
"""The actual value was removed because the size of the field exceeded the configured maximum size (specified with the max_request_body_size sdk option)"""
return AnnotatedValue(
value="",
metadata={
"rem": [ # Remark
[
"!config", # Because of configured maximum size
"x", # The fields original value was removed
]
]
},
)
@classmethod
def substituted_because_contains_sensitive_data(cls):
# type: () -> AnnotatedValue
"""The actual value was removed because it contained sensitive information."""
return AnnotatedValue(
value=SENSITIVE_DATA_SUBSTITUTE,
metadata={
"rem": [ # Remark
[
"!config", # Because of SDK configuration (in this case the config is the hard coded removal of certain django cookies)
"s", # The fields original value was substituted
]
]
},
)
if TYPE_CHECKING:
T = TypeVar("T")
Annotated = Union[AnnotatedValue, T]
def get_type_name(cls):
# type: (Optional[type]) -> Optional[str]
return getattr(cls, "__qualname__", None) or getattr(cls, "__name__", None)
def get_type_module(cls):
# type: (Optional[type]) -> Optional[str]
mod = getattr(cls, "__module__", None)
if mod not in (None, "builtins", "__builtins__"):
return mod
return None
def should_hide_frame(frame: "FrameType") -> bool:
try:
mod = frame.f_globals["__name__"]
if mod.startswith("sentry_sdk."):
return True
except (AttributeError, KeyError):
pass
for flag_name in "__traceback_hide__", "__tracebackhide__":
try:
if frame.f_locals[flag_name]:
return True
except Exception:
pass
return False
def iter_stacks(tb):
# type: (Optional[TracebackType]) -> Iterator[TracebackType]
tb_ = tb # type: Optional[TracebackType]
while tb_ is not None:
if not should_hide_frame(tb_.tb_frame):
yield tb_
tb_ = tb_.tb_next
def get_lines_from_file(
filename, # type: str
lineno, # type: int
max_length=None, # type: Optional[int]
loader=None, # type: Optional[Any]
module=None, # type: Optional[str]
):
# type: (...) -> Tuple[List[Annotated[str]], Optional[Annotated[str]], List[Annotated[str]]]
context_lines = 5
source = None
if loader is not None and hasattr(loader, "get_source"):
try:
source_str = loader.get_source(module) # type: Optional[str]
except (ImportError, IOError):
source_str = None
if source_str is not None:
source = source_str.splitlines()
if source is None:
try:
source = linecache.getlines(filename)
except (OSError, IOError):
return [], None, []
if not source:
return [], None, []
lower_bound = max(0, lineno - context_lines)
upper_bound = min(lineno + 1 + context_lines, len(source))
try:
pre_context = [strip_string(line.strip("\r\n"), max_length=max_length) for line in source[lower_bound:lineno]]
context_line = strip_string(source[lineno].strip("\r\n"), max_length=max_length)
post_context = [
strip_string(line.strip("\r\n"), max_length=max_length)
for line in source[(lineno + 1) : upper_bound] # noqa: E203
]
return pre_context, context_line, post_context
except IndexError:
# the file may have changed since it was loaded into memory
return [], None, []
def get_source_context(
frame, # type: FrameType
tb_lineno, # type: int
max_value_length=None, # type: Optional[int]
):
# type: (...) -> Tuple[List[Annotated[str]], Optional[Annotated[str]], List[Annotated[str]]]
try:
abs_path = frame.f_code.co_filename # type: Optional[str]
except Exception:
abs_path = None
try:
module = frame.f_globals["__name__"]
except Exception:
return [], None, []
try:
loader = frame.f_globals["__loader__"]
except Exception:
loader = None
lineno = tb_lineno - 1
if lineno is not None and abs_path:
return get_lines_from_file(abs_path, lineno, max_value_length, loader=loader, module=module)
return [], None, []
def safe_str(value):
# type: (Any) -> str
try:
return str(value)
except Exception:
return safe_repr(value)
def safe_repr(value):
# type: (Any) -> str
try:
return repr(value)
except Exception:
return "<broken repr>"
def filename_for_module(module, abs_path):
# type: (Optional[str], Optional[str]) -> Optional[str]
if not abs_path or not module:
return abs_path
try:
if abs_path.endswith(".pyc"):
abs_path = abs_path[:-1]
base_module = module.split(".", 1)[0]
if base_module == module:
return os.path.basename(abs_path)
base_module_path = sys.modules[base_module].__file__
if not base_module_path:
return abs_path
return abs_path.split(base_module_path.rsplit(os.sep, 2)[0], 1)[-1].lstrip(os.sep)
except Exception:
return abs_path
def serialize_frame(
frame,
tb_lineno=None,
include_local_variables=True,
include_source_context=True,
max_value_length=None,
custom_repr=None,
):
# type: (FrameType, Optional[int], bool, bool, Optional[int], Optional[Callable[..., Optional[str]]]) -> Dict[str, Any]
f_code = getattr(frame, "f_code", None)
if not f_code:
abs_path = None
function = None
else:
abs_path = frame.f_code.co_filename
function = frame.f_code.co_name
try:
module = frame.f_globals["__name__"]
except Exception:
module = None
if tb_lineno is None:
tb_lineno = frame.f_lineno
rv = {
"platform": "python",
"filename": filename_for_module(module, abs_path) or None,
"abs_path": os.path.abspath(abs_path) if abs_path else None,
"function": function or "<unknown>",
"module": module,
"lineno": tb_lineno,
} # type: Dict[str, Any]
if include_source_context:
rv["pre_context"], rv["context_line"], rv["post_context"] = get_source_context(
frame, tb_lineno, max_value_length
)
if include_local_variables:
# TODO(nk): Sort out this current invalid import
# from sentry_sdk.serializer import serialize
# rv["vars"] = serialize(
# dict(frame.f_locals), is_vars=True, custom_repr=custom_repr
# )
pass
return rv
def current_stacktrace(
include_local_variables=True, # type: bool
include_source_context=True, # type: bool
max_value_length=None, # type: Optional[int]
):
# type: (...) -> Dict[str, Any]
__tracebackhide__ = True
frames = []
f = sys._getframe() # type: Optional[FrameType]
while f is not None:
if not should_hide_frame(f):
frames.append(
serialize_frame(
f,
include_local_variables=include_local_variables,
include_source_context=include_source_context,
max_value_length=max_value_length,
)
)
f = f.f_back
frames.reverse()
return {"frames": frames, "type": "raw"}
def get_errno(exc_value):
# type: (BaseException) -> Optional[Any]
return getattr(exc_value, "errno", None)
def get_error_message(exc_value):
# type: (Optional[BaseException]) -> str
return getattr(exc_value, "message", "") or getattr(exc_value, "detail", "") or safe_str(exc_value)
def single_exception_from_error_tuple(
exc_type, # type: Optional[type]
exc_value, # type: Optional[BaseException]
tb, # type: Optional[TracebackType]
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
exception_id=None, # type: Optional[int]
parent_id=None, # type: Optional[int]
source=None, # type: Optional[str]
):
# type: (...) -> Dict[str, Any]
"""
Creates a dict that goes into the events `exception.values` list and is ingestible by Sentry.
See the Exception Interface documentation for more details:
https://develop.sentry.dev/sdk/event-payloads/exception/
"""
exception_value = {} # type: Dict[str, Any]
exception_value["mechanism"] = mechanism.copy() if mechanism else {"type": "generic", "handled": True}
if exception_id is not None:
exception_value["mechanism"]["exception_id"] = exception_id
if exc_value is not None:
errno = get_errno(exc_value)
else:
errno = None
if errno is not None:
exception_value["mechanism"].setdefault("meta", {}).setdefault("errno", {}).setdefault("number", errno)
if source is not None:
exception_value["mechanism"]["source"] = source
is_root_exception = exception_id == 0
if not is_root_exception and parent_id is not None:
exception_value["mechanism"]["parent_id"] = parent_id
exception_value["mechanism"]["type"] = "chained"
if is_root_exception and "type" not in exception_value["mechanism"]:
exception_value["mechanism"]["type"] = "generic"
is_exception_group = BaseExceptionGroup is not None and isinstance(exc_value, BaseExceptionGroup)
if is_exception_group:
exception_value["mechanism"]["is_exception_group"] = True
exception_value["module"] = get_type_module(exc_type)
exception_value["type"] = get_type_name(exc_type)
exception_value["value"] = get_error_message(exc_value)
if client_options is None:
include_local_variables = True
include_source_context = True
max_value_length = DEFAULT_MAX_VALUE_LENGTH # fallback
custom_repr = None
else:
include_local_variables = client_options["include_local_variables"]
include_source_context = client_options["include_source_context"]
max_value_length = client_options["max_value_length"]
custom_repr = client_options.get("custom_repr")
frames = [
serialize_frame(
tb.tb_frame,
tb_lineno=tb.tb_lineno,
include_local_variables=include_local_variables,
include_source_context=include_source_context,
max_value_length=max_value_length,
custom_repr=custom_repr,
)
for tb in iter_stacks(tb)
]
if frames:
exception_value["stacktrace"] = {"frames": frames, "type": "raw"}
return exception_value
HAS_CHAINED_EXCEPTIONS = hasattr(Exception, "__suppress_context__")
if HAS_CHAINED_EXCEPTIONS:
def walk_exception_chain(exc_info):
# type: (ExcInfo) -> Iterator[ExcInfo]
exc_type, exc_value, tb = exc_info
seen_exceptions = []
seen_exception_ids = set() # type: Set[int]
while exc_type is not None and exc_value is not None and id(exc_value) not in seen_exception_ids:
yield exc_type, exc_value, tb
# Avoid hashing random types we don't know anything
# about. Use the list to keep a ref so that the `id` is
# not used for another object.
seen_exceptions.append(exc_value)
seen_exception_ids.add(id(exc_value))
if exc_value.__suppress_context__:
cause = exc_value.__cause__
else:
cause = exc_value.__context__
if cause is None:
break
exc_type = type(cause)
exc_value = cause
tb = getattr(cause, "__traceback__", None)
else:
def walk_exception_chain(exc_info):
# type: (ExcInfo) -> Iterator[ExcInfo]
yield exc_info
def exceptions_from_error(
exc_type, # type: Optional[type]
exc_value, # type: Optional[BaseException]
tb, # type: Optional[TracebackType]
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
exception_id=0, # type: int
parent_id=0, # type: int
source=None, # type: Optional[str]
):
# type: (...) -> Tuple[int, List[Dict[str, Any]]]
"""
Creates the list of exceptions.
This can include chained exceptions and exceptions from an ExceptionGroup.
See the Exception Interface documentation for more details:
https://develop.sentry.dev/sdk/event-payloads/exception/
"""
parent = single_exception_from_error_tuple(
exc_type=exc_type,
exc_value=exc_value,
tb=tb,
client_options=client_options,
mechanism=mechanism,
exception_id=exception_id,
parent_id=parent_id,
source=source,
)
exceptions = [parent]
parent_id = exception_id
exception_id += 1
should_supress_context = hasattr(exc_value, "__suppress_context__") and exc_value.__suppress_context__ # type: ignore
if should_supress_context:
# Add direct cause.
# The field `__cause__` is set when raised with the exception (using the `from` keyword).
exception_has_cause = exc_value and hasattr(exc_value, "__cause__") and exc_value.__cause__ is not None
if exception_has_cause:
cause = exc_value.__cause__ # type: ignore
(exception_id, child_exceptions) = exceptions_from_error(
exc_type=type(cause),
exc_value=cause,
tb=getattr(cause, "__traceback__", None),
client_options=client_options,
mechanism=mechanism,
exception_id=exception_id,
source="__cause__",
)
exceptions.extend(child_exceptions)
else:
# Add indirect cause.
# The field `__context__` is assigned if another exception occurs while handling the exception.
exception_has_content = exc_value and hasattr(exc_value, "__context__") and exc_value.__context__ is not None
if exception_has_content:
context = exc_value.__context__ # type: ignore
(exception_id, child_exceptions) = exceptions_from_error(
exc_type=type(context),
exc_value=context,
tb=getattr(context, "__traceback__", None),
client_options=client_options,
mechanism=mechanism,
exception_id=exception_id,
source="__context__",
)
exceptions.extend(child_exceptions)
# Add exceptions from an ExceptionGroup.
is_exception_group = exc_value and hasattr(exc_value, "exceptions")
if is_exception_group:
for idx, e in enumerate(exc_value.exceptions): # type: ignore
(exception_id, child_exceptions) = exceptions_from_error(
exc_type=type(e),
exc_value=e,
tb=getattr(e, "__traceback__", None),
client_options=client_options,
mechanism=mechanism,
exception_id=exception_id,
parent_id=parent_id,
source="exceptions[%s]" % idx,
)
exceptions.extend(child_exceptions)
return (exception_id, exceptions)
def exceptions_from_error_tuple(
exc_info, # type: ExcInfo
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
):
# type: (...) -> List[Dict[str, Any]]
exc_type, exc_value, tb = exc_info
is_exception_group = BaseExceptionGroup is not None and isinstance(exc_value, BaseExceptionGroup)
if is_exception_group:
(_, exceptions) = exceptions_from_error(
exc_type=exc_type,
exc_value=exc_value,
tb=tb,
client_options=client_options,
mechanism=mechanism,
exception_id=0,
parent_id=0,
)
else:
exceptions = []
for exc_type, exc_value, tb in walk_exception_chain(exc_info):
exceptions.append(single_exception_from_error_tuple(exc_type, exc_value, tb, client_options, mechanism))
exceptions.reverse()
return exceptions
def to_string(value):
# type: (str) -> str
try:
return str(value)
except UnicodeDecodeError:
return repr(value)[1:-1]
def iter_event_stacktraces(event):
# type: (Event) -> Iterator[Dict[str, Any]]
if "stacktrace" in event:
yield event["stacktrace"]
if "threads" in event:
for thread in event["threads"].get("values") or ():
if "stacktrace" in thread:
yield thread["stacktrace"]
if "exception" in event:
for exception in event["exception"].get("values") or ():
if "stacktrace" in exception:
yield exception["stacktrace"]
def iter_event_frames(event):
# type: (Event) -> Iterator[Dict[str, Any]]
for stacktrace in iter_event_stacktraces(event):
for frame in stacktrace.get("frames") or ():
yield frame
def handle_in_app(event, in_app_exclude=None, in_app_include=None, project_root=None):
# type: (Event, Optional[List[str]], Optional[List[str]], Optional[str]) -> Event
for stacktrace in iter_event_stacktraces(event):
set_in_app_in_frames(
stacktrace.get("frames"),
in_app_exclude=in_app_exclude,
in_app_include=in_app_include,
project_root=project_root,
)
return event
def set_in_app_in_frames(frames, in_app_exclude, in_app_include, project_root=None):
# type: (Any, Optional[List[str]], Optional[List[str]], Optional[str]) -> Optional[Any]
if not frames:
return None
for frame in frames:
# if frame has already been marked as in_app, skip it
current_in_app = frame.get("in_app")
if current_in_app is not None:
continue
module = frame.get("module")
# check if module in frame is in the list of modules to include
if _module_in_list(module, in_app_include):
frame["in_app"] = True
continue
# check if module in frame is in the list of modules to exclude
if _module_in_list(module, in_app_exclude):
frame["in_app"] = False
continue
# if frame has no abs_path, skip further checks
abs_path = frame.get("abs_path")
if abs_path is None:
continue
if _is_external_source(abs_path):
frame["in_app"] = False
continue
if _is_in_project_root(abs_path, project_root):
frame["in_app"] = True
continue
return frames
def exc_info_from_error(error):
# type: (Union[BaseException, ExcInfo]) -> ExcInfo
if isinstance(error, tuple) and len(error) == 3:
exc_type, exc_value, tb = error
elif isinstance(error, BaseException):
tb = getattr(error, "__traceback__", None)
if tb is not None:
exc_type = type(error)
exc_value = error
else:
exc_type, exc_value, tb = sys.exc_info()
if exc_value is not error:
tb = None
exc_value = error
exc_type = type(error)
else:
raise ValueError("Expected Exception object to report, got %s!" % type(error))
exc_info = (exc_type, exc_value, tb)
if TYPE_CHECKING:
# This cast is safe because exc_type and exc_value are either both
# None or both not None.
exc_info = cast(ExcInfo, exc_info)
return exc_info
def event_from_exception(
exc_info, # type: Union[BaseException, ExcInfo]
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
):
# type: (...) -> Tuple[Event, Dict[str, Any]]
exc_info = exc_info_from_error(exc_info)
hint = event_hint_with_exc_info(exc_info)
return (
{
"level": "error",
"exception": {"values": exceptions_from_error_tuple(exc_info, client_options, mechanism)},
},
hint,
)
def _module_in_list(name, items):
# type: (str, Optional[List[str]]) -> bool
if name is None:
return False
if not items:
return False
for item in items:
if item == name or name.startswith(item + "."):
return True
return False
def _is_external_source(abs_path):
# type: (str) -> bool
# check if frame is in 'site-packages' or 'dist-packages'
external_source = re.search(r"[\\/](?:dist|site)-packages[\\/]", abs_path) is not None
return external_source
def _is_in_project_root(abs_path, project_root):
# type: (str, Optional[str]) -> bool
if project_root is None:
return False
# check if path is in the project root
if abs_path.startswith(project_root):
return True
return False
def _truncate_by_bytes(string, max_bytes):
# type: (str, int) -> str
"""
Truncate a UTF-8-encodable string to the last full codepoint so that it fits in max_bytes.
"""
truncated = string.encode("utf-8")[: max_bytes - 3].decode("utf-8", errors="ignore")
return truncated + "..."
def _get_size_in_bytes(value):
# type: (str) -> Optional[int]
try:
return len(value.encode("utf-8"))
except (UnicodeEncodeError, UnicodeDecodeError):
return None
def strip_string(value, max_length=None):
# type: (str, Optional[int]) -> Union[AnnotatedValue, str]
if not value:
return value
if max_length is None:
max_length = DEFAULT_MAX_VALUE_LENGTH
byte_size = _get_size_in_bytes(value)
text_size = len(value)
if byte_size is not None and byte_size > max_length:
# truncate to max_length bytes, preserving code points
truncated_value = _truncate_by_bytes(value, max_length)
elif text_size is not None and text_size > max_length:
# fallback to truncating by string length
truncated_value = value[: max_length - 3] + "..."
else:
return value
return AnnotatedValue(
value=truncated_value,
metadata={
"len": byte_size or text_size,
"rem": [["!limit", "x", max_length - 3, max_length]],
},
)
+84 -21
View File
@@ -2,8 +2,10 @@ import datetime
import hashlib
import logging
import re
from typing import Optional
from dateutil import parser
from dateutil.relativedelta import relativedelta
from posthog.utils import convert_to_datetime_aware, is_valid_regex
@@ -11,6 +13,8 @@ __LONG_SCALE__ = float(0xFFFFFFFFFFFFFFF)
log = logging.getLogger("posthog")
NONE_VALUES_ALLOWED_OPERATORS = ["is_not"]
class InconclusiveMatchError(Exception):
pass
@@ -117,15 +121,20 @@ def match_property(property, property_values) -> bool:
override_value = property_values[key]
if operator == "exact":
if isinstance(value, list):
return override_value in value
return value == override_value
if (operator not in NONE_VALUES_ALLOWED_OPERATORS) and override_value is None:
return False
if operator == "is_not":
if isinstance(value, list):
return override_value not in value
return value != override_value
if operator in ("exact", "is_not"):
def compute_exact_match(value, override_value):
if isinstance(value, list):
return str(override_value).lower() in [str(val).lower() for val in value]
return str(value).lower() == str(override_value).lower()
if operator == "exact":
return compute_exact_match(value, override_value)
else:
return not compute_exact_match(value, override_value)
if operator == "is_set":
return key in property_values
@@ -142,23 +151,46 @@ def match_property(property, property_values) -> bool:
if operator == "not_regex":
return is_valid_regex(str(value)) and re.compile(str(value)).search(str(override_value)) is None
if operator == "gt":
return type(override_value) == type(value) and override_value > value
if operator in ("gt", "gte", "lt", "lte"):
# :TRICKY: We adjust comparison based on the override value passed in,
# to make sure we handle both numeric and string comparisons appropriately.
def compare(lhs, rhs, operator):
if operator == "gt":
return lhs > rhs
elif operator == "gte":
return lhs >= rhs
elif operator == "lt":
return lhs < rhs
elif operator == "lte":
return lhs <= rhs
else:
raise ValueError(f"Invalid operator: {operator}")
if operator == "gte":
return type(override_value) == type(value) and override_value >= value
parsed_value = None
try:
parsed_value = float(value) # type: ignore
except Exception:
pass
if operator == "lt":
return type(override_value) == type(value) and override_value < value
if operator == "lte":
return type(override_value) == type(value) and override_value <= value
if parsed_value is not None and override_value is not None:
if isinstance(override_value, str):
return compare(override_value, str(value), operator)
else:
return compare(override_value, parsed_value, operator)
else:
return compare(str(override_value), str(value), operator)
if operator in ["is_date_before", "is_date_after"]:
try:
parsed_date = parser.parse(value)
parsed_date = convert_to_datetime_aware(parsed_date)
except Exception:
parsed_date = relative_date_parse_for_feature_flag_matching(str(value))
if not parsed_date:
parsed_date = parser.parse(str(value))
parsed_date = convert_to_datetime_aware(parsed_date)
except Exception as e:
raise InconclusiveMatchError("The date set on the flag is not a valid format") from e
if not parsed_date:
raise InconclusiveMatchError("The date set on the flag is not a valid format")
if isinstance(override_value, datetime.datetime):
@@ -185,7 +217,8 @@ def match_property(property, property_values) -> bool:
else:
raise InconclusiveMatchError("The date provided must be a string or date object")
return False
# if we get here, we don't know how to handle the operator
raise InconclusiveMatchError(f"Unknown operator {operator}")
def match_cohort(property, property_values, cohort_properties) -> bool:
@@ -271,3 +304,33 @@ def match_property_group(property_group, property_values, cohort_properties) ->
# if we get here, all matched in AND case, or none matched in OR case
return property_group_type == "AND"
def relative_date_parse_for_feature_flag_matching(value: str) -> Optional[datetime.datetime]:
regex = r"^-?(?P<number>[0-9]+)(?P<interval>[a-z])$"
match = re.search(regex, value)
parsed_dt = datetime.datetime.now(datetime.timezone.utc)
if match:
number = int(match.group("number"))
if number >= 10_000:
# Guard against overflow, disallow numbers greater than 10_000
return None
interval = match.group("interval")
if interval == "h":
parsed_dt = parsed_dt - relativedelta(hours=number)
elif interval == "d":
parsed_dt = parsed_dt - relativedelta(days=number)
elif interval == "w":
parsed_dt = parsed_dt - relativedelta(weeks=number)
elif interval == "m":
parsed_dt = parsed_dt - relativedelta(months=number)
elif interval == "y":
parsed_dt = parsed_dt - relativedelta(years=number)
else:
return None
return parsed_dt
else:
return None
+16 -2
View File
@@ -13,17 +13,31 @@ from posthog.version import VERSION
_session = requests.sessions.Session()
DEFAULT_HOST = "https://app.posthog.com"
US_INGESTION_ENDPOINT = "https://us.i.posthog.com"
EU_INGESTION_ENDPOINT = "https://eu.i.posthog.com"
DEFAULT_HOST = US_INGESTION_ENDPOINT
USER_AGENT = "posthog-python/" + VERSION
def determine_server_host(host: Optional[str]) -> str:
"""Determines the server host to use."""
host_or_default = host or DEFAULT_HOST
trimmed_host = remove_trailing_slash(host_or_default)
if trimmed_host in ("https://app.posthog.com", "https://us.posthog.com"):
return US_INGESTION_ENDPOINT
elif trimmed_host == "https://eu.posthog.com":
return EU_INGESTION_ENDPOINT
else:
return host_or_default
def post(
api_key: str, host: Optional[str] = None, path=None, gzip: bool = False, timeout: int = 15, **kwargs
) -> requests.Response:
"""Post the `kwargs` to the API"""
log = logging.getLogger("posthog")
body = kwargs
body["sentAt"] = datetime.utcnow().replace(tzinfo=tzutc()).isoformat()
body["sentAt"] = datetime.now(tz=tzutc()).isoformat()
url = remove_trailing_slash(host or DEFAULT_HOST) + path
body["api_key"] = api_key
data = json.dumps(body, cls=DatetimeSerializer)
+3 -3
View File
@@ -43,9 +43,9 @@ class PostHogIntegration(Integration):
not not Hub.current.client.dsn and Dsn(Hub.current.client.dsn).project_id
)
if project_id:
properties[
"$sentry_url"
] = f"{PostHogIntegration.prefix}{PostHogIntegration.organization}/issues/?project={project_id}&query={event['event_id']}"
properties["$sentry_url"] = (
f"{PostHogIntegration.prefix}{PostHogIntegration.organization}/issues/?project={project_id}&query={event['event_id']}"
)
posthog.capture(posthog_distinct_id, "$exception", properties)
View File
+341
View File
@@ -0,0 +1,341 @@
import os
import time
from unittest.mock import patch
import pytest
from anthropic.types import Message, Usage
from posthog.ai.anthropic import Anthropic, AsyncAnthropic
ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
@pytest.fixture
def mock_client():
with patch("posthog.client.Client") as mock_client:
mock_client.privacy_mode = False
yield mock_client
@pytest.fixture
def mock_anthropic_response():
return Message(
id="msg_123",
type="message",
role="assistant",
content=[{"type": "text", "text": "Test response"}],
model="claude-3-opus-20240229",
usage=Usage(
input_tokens=20,
output_tokens=10,
),
stop_reason="end_turn",
stop_sequence=None,
)
@pytest.fixture
def mock_anthropic_stream():
class MockStreamEvent:
def __init__(self, content, usage=None):
self.content = content
self.usage = usage
def stream_generator():
yield MockStreamEvent("A")
yield MockStreamEvent("B")
yield MockStreamEvent(
"C",
usage=Usage(
input_tokens=20,
output_tokens=10,
),
)
return stream_generator()
def test_basic_completion(mock_client, mock_anthropic_response):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_response):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
assert response == mock_anthropic_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "anthropic"
assert props["$ai_model"] == "claude-3-opus-20240229"
assert props["$ai_input"] == [{"role": "user", "content": "Hello"}]
assert props["$ai_output_choices"] == [{"role": "assistant", "content": "Test response"}]
assert props["$ai_input_tokens"] == 20
assert props["$ai_output_tokens"] == 10
assert props["$ai_http_status"] == 200
assert props["foo"] == "bar"
assert isinstance(props["$ai_latency"], float)
def test_streaming(mock_client, mock_anthropic_stream):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_stream):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
stream=True,
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
# Consume the stream
chunks = list(response)
assert len(chunks) == 3
assert chunks[0].content == "A"
assert chunks[1].content == "B"
assert chunks[2].content == "C"
# Wait a bit to ensure the capture is called
time.sleep(0.1)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "anthropic"
assert props["$ai_model"] == "claude-3-opus-20240229"
assert props["$ai_input"] == [{"role": "user", "content": "Hello"}]
assert props["$ai_output_choices"] == [{"role": "assistant", "content": "ABC"}]
assert props["$ai_input_tokens"] == 20
assert props["$ai_output_tokens"] == 10
assert isinstance(props["$ai_latency"], float)
assert props["foo"] == "bar"
def test_streaming_with_stream_endpoint(mock_client, mock_anthropic_stream):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_stream):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.stream(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
# Consume the stream
chunks = list(response)
assert len(chunks) == 3
assert chunks[0].content == "A"
assert chunks[1].content == "B"
assert chunks[2].content == "C"
# Wait a bit to ensure the capture is called
time.sleep(0.1)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "anthropic"
assert props["$ai_model"] == "claude-3-opus-20240229"
assert props["$ai_input"] == [{"role": "user", "content": "Hello"}]
assert props["$ai_output_choices"] == [{"role": "assistant", "content": "ABC"}]
assert props["$ai_input_tokens"] == 20
assert props["$ai_output_tokens"] == 10
assert isinstance(props["$ai_latency"], float)
assert props["foo"] == "bar"
def test_groups(mock_client, mock_anthropic_response):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_response):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_groups={"company": "test_company"},
)
assert response == mock_anthropic_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
assert call_args["groups"] == {"company": "test_company"}
def test_privacy_mode_local(mock_client, mock_anthropic_response):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_response):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_privacy_mode=True,
)
assert response == mock_anthropic_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] is None
assert props["$ai_output_choices"] is None
def test_privacy_mode_global(mock_client, mock_anthropic_response):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_response):
mock_client.privacy_mode = True
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_privacy_mode=False,
)
assert response == mock_anthropic_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] is None
assert props["$ai_output_choices"] is None
@pytest.mark.skipif(not ANTHROPIC_API_KEY, reason="ANTHROPIC_API_KEY is not set")
def test_basic_integration(mock_client):
client = Anthropic(posthog_client=mock_client)
client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "Foo"}],
max_tokens=1,
temperature=0,
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
system="You must always answer with 'Bar'.",
)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "anthropic"
assert props["$ai_model"] == "claude-3-opus-20240229"
assert props["$ai_input"] == [
{"role": "system", "content": "You must always answer with 'Bar'."},
{"role": "user", "content": "Foo"},
]
assert props["$ai_output_choices"][0]["role"] == "assistant"
assert props["$ai_output_choices"][0]["content"] == "Bar"
assert props["$ai_input_tokens"] == 18
assert props["$ai_output_tokens"] == 1
assert props["$ai_http_status"] == 200
assert props["foo"] == "bar"
assert isinstance(props["$ai_latency"], float)
@pytest.mark.skipif(not ANTHROPIC_API_KEY, reason="ANTHROPIC_API_KEY is not set")
async def test_basic_async_integration(mock_client):
client = AsyncAnthropic(posthog_client=mock_client)
await client.messages.create(
model="claude-3-opus-20240229",
messages=[{"role": "user", "content": "You must always answer with 'Bar'."}],
max_tokens=1,
temperature=0,
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "anthropic"
assert props["$ai_model"] == "claude-3-opus-20240229"
assert props["$ai_input"] == [{"role": "user", "content": "You must always answer with 'Bar'."}]
assert props["$ai_output_choices"][0]["role"] == "assistant"
assert props["$ai_input_tokens"] == 16
assert props["$ai_output_tokens"] == 1
assert props["$ai_http_status"] == 200
assert props["foo"] == "bar"
assert isinstance(props["$ai_latency"], float)
def test_streaming_system_prompt(mock_client, mock_anthropic_stream):
with patch("anthropic.resources.Messages.create", return_value=mock_anthropic_stream):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
response = client.messages.create(
model="claude-3-opus-20240229",
system="Foo",
messages=[{"role": "user", "content": "Bar"}],
stream=True,
)
# Consume the stream
list(response)
# Wait a bit to ensure the capture is called
time.sleep(0.1)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] == [{"role": "system", "content": "Foo"}, {"role": "user", "content": "Bar"}]
@pytest.mark.skipif(not ANTHROPIC_API_KEY, reason="ANTHROPIC_API_KEY is not set")
async def test_async_streaming_system_prompt(mock_client, mock_anthropic_stream):
client = AsyncAnthropic(posthog_client=mock_client)
response = await client.messages.create(
model="claude-3-opus-20240229",
system="You must always answer with 'Bar'.",
messages=[{"role": "user", "content": "Foo"}],
stream=True,
max_tokens=1,
)
# Consume the stream
[c async for c in response]
# Wait a bit to ensure the capture is called
time.sleep(0.1)
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] == [
{"role": "system", "content": "You must always answer with 'Bar'."},
{"role": "user", "content": "Foo"},
]
def test_error(mock_client, mock_anthropic_response):
with patch("anthropic.resources.Messages.create", side_effect=Exception("Test error")):
client = Anthropic(api_key="test-key", posthog_client=mock_client)
with pytest.raises(Exception):
client.messages.create(model="claude-3-opus-20240229", messages=[{"role": "user", "content": "Hello"}])
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_is_error"] is True
assert props["$ai_error"] == "Test error"
+5
View File
@@ -0,0 +1,5 @@
import pytest
pytest.importorskip("langchain")
pytest.importorskip("langchain_community")
pytest.importorskip("langgraph")
File diff suppressed because it is too large Load Diff
+189
View File
@@ -0,0 +1,189 @@
import time
from unittest.mock import patch
import pytest
from openai.types.chat import ChatCompletion, ChatCompletionMessage
from openai.types.chat.chat_completion import Choice
from openai.types.completion_usage import CompletionUsage
from openai.types.create_embedding_response import CreateEmbeddingResponse, Usage
from openai.types.embedding import Embedding
from posthog.ai.openai import OpenAI
@pytest.fixture
def mock_client():
with patch("posthog.client.Client") as mock_client:
mock_client.privacy_mode = False
yield mock_client
@pytest.fixture
def mock_openai_response():
return ChatCompletion(
id="test",
model="gpt-4",
object="chat.completion",
created=int(time.time()),
choices=[
Choice(
finish_reason="stop",
index=0,
message=ChatCompletionMessage(
content="Test response",
role="assistant",
),
)
],
usage=CompletionUsage(
completion_tokens=10,
prompt_tokens=20,
total_tokens=30,
),
)
@pytest.fixture
def mock_embedding_response():
return CreateEmbeddingResponse(
data=[
Embedding(
embedding=[0.1, 0.2, 0.3],
index=0,
object="embedding",
)
],
model="text-embedding-3-small",
object="list",
usage=Usage(
prompt_tokens=10,
total_tokens=10,
),
)
def test_basic_completion(mock_client, mock_openai_response):
with patch("openai.resources.chat.completions.Completions.create", return_value=mock_openai_response):
client = OpenAI(api_key="test-key", posthog_client=mock_client)
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
assert response == mock_openai_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_generation"
assert props["$ai_provider"] == "openai"
assert props["$ai_model"] == "gpt-4"
assert props["$ai_input"] == [{"role": "user", "content": "Hello"}]
assert props["$ai_output_choices"] == [{"role": "assistant", "content": "Test response"}]
assert props["$ai_input_tokens"] == 20
assert props["$ai_output_tokens"] == 10
assert props["$ai_http_status"] == 200
assert props["foo"] == "bar"
assert isinstance(props["$ai_latency"], float)
def test_embeddings(mock_client, mock_embedding_response):
with patch("openai.resources.embeddings.Embeddings.create", return_value=mock_embedding_response):
client = OpenAI(api_key="test-key", posthog_client=mock_client)
response = client.embeddings.create(
model="text-embedding-3-small",
input="Hello world",
posthog_distinct_id="test-id",
posthog_properties={"foo": "bar"},
)
assert response == mock_embedding_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert call_args["distinct_id"] == "test-id"
assert call_args["event"] == "$ai_embedding"
assert props["$ai_provider"] == "openai"
assert props["$ai_model"] == "text-embedding-3-small"
assert props["$ai_input"] == "Hello world"
assert props["$ai_input_tokens"] == 10
assert props["$ai_http_status"] == 200
assert props["foo"] == "bar"
assert isinstance(props["$ai_latency"], float)
def test_groups(mock_client, mock_openai_response):
with patch("openai.resources.chat.completions.Completions.create", return_value=mock_openai_response):
client = OpenAI(api_key="test-key", posthog_client=mock_client)
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_groups={"company": "test_company"},
)
assert response == mock_openai_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
assert call_args["groups"] == {"company": "test_company"}
def test_privacy_mode_local(mock_client, mock_openai_response):
with patch("openai.resources.chat.completions.Completions.create", return_value=mock_openai_response):
client = OpenAI(api_key="test-key", posthog_client=mock_client)
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_privacy_mode=True,
)
assert response == mock_openai_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] is None
assert props["$ai_output_choices"] is None
def test_privacy_mode_global(mock_client, mock_openai_response):
with patch("openai.resources.chat.completions.Completions.create", return_value=mock_openai_response):
mock_client.privacy_mode = True
client = OpenAI(api_key="test-key", posthog_client=mock_client)
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}],
posthog_distinct_id="test-id",
posthog_privacy_mode=False,
)
assert response == mock_openai_response
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_input"] is None
assert props["$ai_output_choices"] is None
def test_error(mock_client, mock_openai_response):
with patch("openai.resources.chat.completions.Completions.create", side_effect=Exception("Test error")):
client = OpenAI(api_key="test-key", posthog_client=mock_client)
with pytest.raises(Exception):
client.chat.completions.create(model="gpt-4", messages=[{"role": "user", "content": "Hello"}])
assert mock_client.capture.call_count == 1
call_args = mock_client.capture.call_args[1]
props = call_args["properties"]
assert props["$ai_is_error"] is True
assert props["$ai_error"] == "Test error"
@@ -0,0 +1,3 @@
import pytest
pytest.importorskip("django")
@@ -0,0 +1,68 @@
from posthog.exception_integrations.django import DjangoRequestExtractor
DEFAULT_USER_AGENT = (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
)
def mock_request_factory(override_headers):
class Request:
META = {}
# TRICKY: Actual django request dict object has case insensitive matching, and strips http from the names
headers = {
"User-Agent": DEFAULT_USER_AGENT,
"Referrer": "http://example.com",
"X-Forwarded-For": "193.4.5.12",
**(override_headers or {}),
}
return Request()
def test_request_extractor_with_no_trace():
request = mock_request_factory(None)
extractor = DjangoRequestExtractor(request)
assert extractor.extract_person_data() == {
"ip": "193.4.5.12",
"user_agent": DEFAULT_USER_AGENT,
"traceparent": None,
"distinct_id": None,
}
def test_request_extractor_with_trace():
request = mock_request_factory({"traceparent": "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01"})
extractor = DjangoRequestExtractor(request)
assert extractor.extract_person_data() == {
"ip": "193.4.5.12",
"user_agent": DEFAULT_USER_AGENT,
"traceparent": "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01",
"distinct_id": None,
}
def test_request_extractor_with_tracestate():
request = mock_request_factory(
{
"traceparent": "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01",
"tracestate": "posthog-distinct-id=1234",
}
)
extractor = DjangoRequestExtractor(request)
assert extractor.extract_person_data() == {
"ip": "193.4.5.12",
"user_agent": DEFAULT_USER_AGENT,
"traceparent": "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01",
"distinct_id": "1234",
}
def test_request_extractor_with_complicated_tracestate():
request = mock_request_factory({"tracestate": "posthog-distinct-id=alohaMountainsXUYZ,rojo=00f067aa0ba902b7"})
extractor = DjangoRequestExtractor(request)
assert extractor.extract_person_data() == {
"ip": "193.4.5.12",
"user_agent": DEFAULT_USER_AGENT,
"traceparent": None,
"distinct_id": "alohaMountainsXUYZ",
}
+649 -7
View File
@@ -84,6 +84,184 @@ class TestClient(unittest.TestCase):
self.assertEqual(msg["properties"]["$lib"], "posthog-python")
self.assertEqual(msg["properties"]["$lib_version"], VERSION)
def test_basic_super_properties(self):
client = Client(FAKE_TEST_API_KEY, super_properties={"source": "repo-name"})
_, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertEqual(msg["event"], "python test event")
self.assertEqual(msg["properties"]["source"], "repo-name")
_, msg = client.identify("distinct_id", {"trait": "value"})
client.flush()
self.assertEqual(msg["$set"]["trait"], "value")
self.assertEqual(msg["properties"]["source"], "repo-name")
def test_basic_capture_exception(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
client = self.client
exception = Exception("test exception")
client.capture_exception(exception, distinct_id="distinct_id")
self.assertTrue(patch_capture.called)
capture_call = patch_capture.call_args[0]
self.assertEqual(capture_call[0], "distinct_id")
self.assertEqual(capture_call[1], "$exception")
self.assertEqual(
capture_call[2],
{
"$exception_type": "Exception",
"$exception_message": "test exception",
"$exception_list": [
{
"mechanism": {"type": "generic", "handled": True},
"module": None,
"type": "Exception",
"value": "test exception",
}
],
"$exception_personURL": "https://us.i.posthog.com/project/random_key/person/distinct_id",
},
)
def test_basic_capture_exception_with_distinct_id(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
client = self.client
exception = Exception("test exception")
client.capture_exception(exception, "distinct_id")
self.assertTrue(patch_capture.called)
capture_call = patch_capture.call_args[0]
self.assertEqual(capture_call[0], "distinct_id")
self.assertEqual(capture_call[1], "$exception")
self.assertEqual(
capture_call[2],
{
"$exception_type": "Exception",
"$exception_message": "test exception",
"$exception_list": [
{
"mechanism": {"type": "generic", "handled": True},
"module": None,
"type": "Exception",
"value": "test exception",
}
],
"$exception_personURL": "https://us.i.posthog.com/project/random_key/person/distinct_id",
},
)
def test_basic_capture_exception_with_correct_host_generation(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, host="https://aloha.com")
exception = Exception("test exception")
client.capture_exception(exception, "distinct_id")
self.assertTrue(patch_capture.called)
capture_call = patch_capture.call_args[0]
self.assertEqual(capture_call[0], "distinct_id")
self.assertEqual(capture_call[1], "$exception")
self.assertEqual(
capture_call[2],
{
"$exception_type": "Exception",
"$exception_message": "test exception",
"$exception_list": [
{
"mechanism": {"type": "generic", "handled": True},
"module": None,
"type": "Exception",
"value": "test exception",
}
],
"$exception_personURL": "https://aloha.com/project/random_key/person/distinct_id",
},
)
def test_basic_capture_exception_with_correct_host_generation_for_server_hosts(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, host="https://app.posthog.com")
exception = Exception("test exception")
client.capture_exception(exception, "distinct_id")
self.assertTrue(patch_capture.called)
capture_call = patch_capture.call_args[0]
self.assertEqual(capture_call[0], "distinct_id")
self.assertEqual(capture_call[1], "$exception")
self.assertEqual(
capture_call[2],
{
"$exception_type": "Exception",
"$exception_message": "test exception",
"$exception_list": [
{
"mechanism": {"type": "generic", "handled": True},
"module": None,
"type": "Exception",
"value": "test exception",
}
],
"$exception_personURL": "https://app.posthog.com/project/random_key/person/distinct_id",
},
)
def test_basic_capture_exception_with_no_exception_given(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
client = self.client
try:
raise Exception("test exception")
except Exception:
client.capture_exception(distinct_id="distinct_id")
self.assertTrue(patch_capture.called)
capture_call = patch_capture.call_args[0]
self.assertEqual(capture_call[0], "distinct_id")
self.assertEqual(capture_call[1], "$exception")
self.assertEqual(capture_call[2]["$exception_type"], "Exception")
self.assertEqual(capture_call[2]["$exception_message"], "test exception")
self.assertEqual(capture_call[2]["$exception_list"][0]["mechanism"]["type"], "generic")
self.assertEqual(capture_call[2]["$exception_list"][0]["mechanism"]["handled"], True)
self.assertEqual(capture_call[2]["$exception_list"][0]["module"], None)
self.assertEqual(capture_call[2]["$exception_list"][0]["type"], "Exception")
self.assertEqual(capture_call[2]["$exception_list"][0]["value"], "test exception")
self.assertEqual(
capture_call[2]["$exception_list"][0]["stacktrace"]["type"],
"raw",
)
self.assertEqual(
capture_call[2]["$exception_list"][0]["stacktrace"]["frames"][0]["filename"],
"posthog/test/test_client.py",
)
self.assertEqual(
capture_call[2]["$exception_list"][0]["stacktrace"]["frames"][0]["function"],
"test_basic_capture_exception_with_no_exception_given",
)
self.assertEqual(
capture_call[2]["$exception_list"][0]["stacktrace"]["frames"][0]["module"], "posthog.test.test_client"
)
self.assertEqual(capture_call[2]["$exception_list"][0]["stacktrace"]["frames"][0]["in_app"], True)
def test_basic_capture_exception_with_no_exception_happening(self):
with mock.patch.object(Client, "capture", return_value=None) as patch_capture:
with self.assertLogs("posthog", level="WARNING") as logs:
client = self.client
client.capture_exception()
self.assertFalse(patch_capture.called)
self.assertEqual(
logs.output[0],
"WARNING:posthog:No exception information available",
)
@mock.patch("posthog.client.decide")
def test_basic_capture_with_feature_flags(self, patch_decide):
patch_decide.return_value = {"featureFlags": {"beta-feature": "random-variant"}}
@@ -106,14 +284,187 @@ class TestClient(unittest.TestCase):
self.assertEqual(patch_decide.call_count, 1)
@mock.patch("posthog.client.decide")
def test_get_active_feature_flags(self, patch_decide):
patch_decide.return_value = {
"featureFlags": {"beta-feature": "random-variant", "alpha-feature": True, "off-feature": False}
}
def test_basic_capture_with_locally_evaluated_feature_flags(self, patch_decide):
patch_decide.return_value = {"featureFlags": {"beta-feature": "random-variant"}}
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, personal_api_key=FAKE_TEST_API_KEY)
variants = client._get_active_feature_variants("some_id", None, None, None)
self.assertEqual(variants, {"beta-feature": "random-variant", "alpha-feature": True})
multivariate_flag = {
"id": 1,
"name": "Beta Feature",
"key": "beta-feature-local",
"is_simple_flag": False,
"active": True,
"rollout_percentage": 100,
"filters": {
"groups": [
{
"properties": [
{"key": "email", "type": "person", "value": "test@posthog.com", "operator": "exact"}
],
"rollout_percentage": 100,
},
{
"rollout_percentage": 50,
},
],
"multivariate": {
"variants": [
{"key": "first-variant", "name": "First Variant", "rollout_percentage": 50},
{"key": "second-variant", "name": "Second Variant", "rollout_percentage": 25},
{"key": "third-variant", "name": "Third Variant", "rollout_percentage": 25},
]
},
"payloads": {"first-variant": "some-payload", "third-variant": {"a": "json"}},
},
}
basic_flag = {
"id": 1,
"name": "Beta Feature",
"key": "person-flag",
"is_simple_flag": True,
"active": True,
"filters": {
"groups": [
{
"properties": [
{
"key": "region",
"operator": "exact",
"value": ["USA"],
"type": "person",
}
],
"rollout_percentage": 100,
}
],
"payloads": {"true": 300},
},
}
false_flag = {
"id": 1,
"name": "Beta Feature",
"key": "false-flag",
"is_simple_flag": True,
"active": True,
"filters": {
"groups": [
{
"properties": [],
"rollout_percentage": 0,
}
],
"payloads": {"true": 300},
},
}
client.feature_flags = [multivariate_flag, basic_flag, false_flag]
success, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertTrue(success)
self.assertFalse(self.failed)
self.assertEqual(msg["event"], "python test event")
self.assertTrue(isinstance(msg["timestamp"], str))
self.assertIsNone(msg.get("uuid"))
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertEqual(msg["properties"]["$lib"], "posthog-python")
self.assertEqual(msg["properties"]["$lib_version"], VERSION)
self.assertEqual(msg["properties"]["$feature/beta-feature-local"], "third-variant")
self.assertEqual(msg["properties"]["$feature/false-flag"], False)
self.assertEqual(msg["properties"]["$active_feature_flags"], ["beta-feature-local"])
assert "$feature/beta-feature" not in msg["properties"]
self.assertEqual(patch_decide.call_count, 0)
# test that flags are not evaluated without local evaluation
client.feature_flags = []
success, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertTrue(success)
self.assertFalse(self.failed)
assert "$feature/beta-feature" not in msg["properties"]
assert "$feature/beta-feature-local" not in msg["properties"]
assert "$feature/false-flag" not in msg["properties"]
assert "$active_feature_flags" not in msg["properties"]
@mock.patch("posthog.client.decide")
def test_dont_override_capture_with_local_flags(self, patch_decide):
patch_decide.return_value = {"featureFlags": {"beta-feature": "random-variant"}}
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, personal_api_key=FAKE_TEST_API_KEY)
multivariate_flag = {
"id": 1,
"name": "Beta Feature",
"key": "beta-feature-local",
"is_simple_flag": False,
"active": True,
"rollout_percentage": 100,
"filters": {
"groups": [
{
"properties": [
{"key": "email", "type": "person", "value": "test@posthog.com", "operator": "exact"}
],
"rollout_percentage": 100,
},
{
"rollout_percentage": 50,
},
],
"multivariate": {
"variants": [
{"key": "first-variant", "name": "First Variant", "rollout_percentage": 50},
{"key": "second-variant", "name": "Second Variant", "rollout_percentage": 25},
{"key": "third-variant", "name": "Third Variant", "rollout_percentage": 25},
]
},
"payloads": {"first-variant": "some-payload", "third-variant": {"a": "json"}},
},
}
basic_flag = {
"id": 1,
"name": "Beta Feature",
"key": "person-flag",
"is_simple_flag": True,
"active": True,
"filters": {
"groups": [
{
"properties": [
{
"key": "region",
"operator": "exact",
"value": ["USA"],
"type": "person",
}
],
"rollout_percentage": 100,
}
],
"payloads": {"true": 300},
},
}
client.feature_flags = [multivariate_flag, basic_flag]
success, msg = client.capture(
"distinct_id", "python test event", {"$feature/beta-feature-local": "my-custom-variant"}
)
client.flush()
self.assertTrue(success)
self.assertFalse(self.failed)
self.assertEqual(msg["event"], "python test event")
self.assertTrue(isinstance(msg["timestamp"], str))
self.assertIsNone(msg.get("uuid"))
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertEqual(msg["properties"]["$lib"], "posthog-python")
self.assertEqual(msg["properties"]["$lib_version"], VERSION)
self.assertEqual(msg["properties"]["$feature/beta-feature-local"], "my-custom-variant")
self.assertEqual(msg["properties"]["$active_feature_flags"], ["beta-feature-local"])
assert "$feature/beta-feature" not in msg["properties"]
assert "$feature/person-flag" not in msg["properties"]
self.assertEqual(patch_decide.call_count, 0)
@mock.patch("posthog.client.decide")
def test_basic_capture_with_feature_flags_returns_active_only(self, patch_decide):
@@ -131,6 +482,7 @@ class TestClient(unittest.TestCase):
self.assertTrue(isinstance(msg["timestamp"], str))
self.assertIsNone(msg.get("uuid"))
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertTrue(msg["properties"]["$geoip_disable"])
self.assertEqual(msg["properties"]["$lib"], "posthog-python")
self.assertEqual(msg["properties"]["$lib_version"], VERSION)
self.assertEqual(msg["properties"]["$feature/beta-feature"], "random-variant")
@@ -138,6 +490,58 @@ class TestClient(unittest.TestCase):
self.assertEqual(msg["properties"]["$active_feature_flags"], ["beta-feature", "alpha-feature"])
self.assertEqual(patch_decide.call_count, 1)
patch_decide.assert_called_with(
"random_key",
"https://us.i.posthog.com",
timeout=3,
distinct_id="distinct_id",
groups={},
person_properties=None,
group_properties=None,
disable_geoip=True,
)
@mock.patch("posthog.client.decide")
def test_basic_capture_with_feature_flags_and_disable_geoip_returns_correctly(self, patch_decide):
patch_decide.return_value = {
"featureFlags": {"beta-feature": "random-variant", "alpha-feature": True, "off-feature": False}
}
client = Client(
FAKE_TEST_API_KEY,
host="https://app.posthog.com",
on_error=self.set_fail,
personal_api_key=FAKE_TEST_API_KEY,
disable_geoip=True,
feature_flags_request_timeout_seconds=12,
)
success, msg = client.capture("distinct_id", "python test event", send_feature_flags=True, disable_geoip=False)
client.flush()
self.assertTrue(success)
self.assertFalse(self.failed)
self.assertEqual(msg["event"], "python test event")
self.assertTrue(isinstance(msg["timestamp"], str))
self.assertIsNone(msg.get("uuid"))
self.assertTrue("$geoip_disable" not in msg["properties"])
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertEqual(msg["properties"]["$lib"], "posthog-python")
self.assertEqual(msg["properties"]["$lib_version"], VERSION)
self.assertEqual(msg["properties"]["$feature/beta-feature"], "random-variant")
self.assertEqual(msg["properties"]["$feature/alpha-feature"], True)
self.assertEqual(msg["properties"]["$active_feature_flags"], ["beta-feature", "alpha-feature"])
self.assertEqual(patch_decide.call_count, 1)
patch_decide.assert_called_with(
"random_key",
"https://us.i.posthog.com",
timeout=12,
distinct_id="distinct_id",
groups={},
person_properties=None,
group_properties=None,
disable_geoip=False,
)
@mock.patch("posthog.client.decide")
def test_basic_capture_with_feature_flags_switched_off_doesnt_send_them(self, patch_decide):
@@ -305,6 +709,26 @@ class TestClient(unittest.TestCase):
"$group_set": {},
"$lib": "posthog-python",
"$lib_version": VERSION,
"$geoip_disable": True,
},
)
self.assertTrue(isinstance(msg["timestamp"], str))
self.assertIsNone(msg.get("uuid"))
def test_basic_group_identify_with_distinct_id(self):
success, msg = self.client.group_identify("organization", "id:5", distinct_id="distinct_id")
self.assertTrue(success)
self.assertEqual(msg["event"], "$groupidentify")
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertEqual(
msg["properties"],
{
"$group_type": "organization",
"$group_key": "id:5",
"$group_set": {},
"$lib": "posthog-python",
"$lib_version": VERSION,
"$geoip_disable": True,
},
)
self.assertTrue(isinstance(msg["timestamp"], str))
@@ -326,6 +750,36 @@ class TestClient(unittest.TestCase):
"$group_set": {"trait": "value"},
"$lib": "posthog-python",
"$lib_version": VERSION,
"$geoip_disable": True,
},
)
self.assertEqual(msg["timestamp"], "2014-09-03T00:00:00+00:00")
self.assertEqual(msg["context"]["ip"], "192.168.0.1")
def test_advanced_group_identify_with_distinct_id(self):
success, msg = self.client.group_identify(
"organization",
"id:5",
{"trait": "value"},
{"ip": "192.168.0.1"},
datetime(2014, 9, 3),
"new-uuid",
distinct_id="distinct_id",
)
self.assertTrue(success)
self.assertEqual(msg["event"], "$groupidentify")
self.assertEqual(msg["distinct_id"], "distinct_id")
self.assertEqual(
msg["properties"],
{
"$group_type": "organization",
"$group_key": "id:5",
"$group_set": {"trait": "value"},
"$lib": "posthog-python",
"$lib_version": VERSION,
"$geoip_disable": True,
},
)
self.assertEqual(msg["timestamp"], "2014-09-03T00:00:00+00:00")
@@ -468,6 +922,127 @@ class TestClient(unittest.TestCase):
for consumer in client.consumers:
self.assertEqual(consumer.timeout, 15)
def test_disabled(self):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disabled=True)
success, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertFalse(success)
self.assertFalse(self.failed)
self.assertEqual(msg, "disabled")
@mock.patch("posthog.client.decide")
def test_disabled_with_feature_flags(self, patch_decide):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disabled=True)
response = client.get_feature_flag("beta-feature", "12345")
self.assertIsNone(response)
patch_decide.assert_not_called()
response = client.feature_enabled("beta-feature", "12345")
self.assertIsNone(response)
patch_decide.assert_not_called()
response = client.get_all_flags("12345")
self.assertIsNone(response)
patch_decide.assert_not_called()
response = client.get_feature_flag_payload("key", "12345")
self.assertIsNone(response)
patch_decide.assert_not_called()
response = client.get_all_flags_and_payloads("12345")
self.assertEqual(response, {"featureFlags": None, "featureFlagPayloads": None})
patch_decide.assert_not_called()
# no capture calls
self.assertTrue(client.queue.empty())
def test_enabled_to_disabled(self):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disabled=False)
success, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertTrue(success)
self.assertFalse(self.failed)
self.assertEqual(msg["event"], "python test event")
client.disabled = True
success, msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertFalse(success)
self.assertFalse(self.failed)
self.assertEqual(msg, "disabled")
def test_disable_geoip_default_on_events(self):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disable_geoip=True)
_, capture_msg = client.capture("distinct_id", "python test event")
client.flush()
self.assertEqual(capture_msg["properties"]["$geoip_disable"], True)
_, identify_msg = client.identify("distinct_id", {"trait": "value"})
client.flush()
self.assertEqual(identify_msg["properties"]["$geoip_disable"], True)
def test_disable_geoip_override_on_events(self):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disable_geoip=False)
_, capture_msg = client.set("distinct_id", {"a": "b", "c": "d"}, disable_geoip=True)
client.flush()
self.assertEqual(capture_msg["properties"]["$geoip_disable"], True)
_, identify_msg = client.page("distinct_id", "http://a.com", {"trait": "value"}, disable_geoip=False)
client.flush()
self.assertEqual("$geoip_disable" not in identify_msg["properties"], True)
def test_disable_geoip_method_overrides_init_on_events(self):
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disable_geoip=True)
_, msg = client.capture("distinct_id", "python test event", disable_geoip=False)
client.flush()
self.assertTrue("$geoip_disable" not in msg["properties"])
@mock.patch("posthog.client.decide")
def test_disable_geoip_default_on_decide(self, patch_decide):
patch_decide.return_value = {
"featureFlags": {"beta-feature": "random-variant", "alpha-feature": True, "off-feature": False}
}
client = Client(FAKE_TEST_API_KEY, on_error=self.set_fail, disable_geoip=False)
client.get_feature_flag("random_key", "some_id", disable_geoip=True)
patch_decide.assert_called_with(
"random_key",
"https://us.i.posthog.com",
timeout=3,
distinct_id="some_id",
groups={},
person_properties={"distinct_id": "some_id"},
group_properties={},
disable_geoip=True,
)
patch_decide.reset_mock()
client.feature_enabled("random_key", "feature_enabled_distinct_id", disable_geoip=True)
patch_decide.assert_called_with(
"random_key",
"https://us.i.posthog.com",
timeout=3,
distinct_id="feature_enabled_distinct_id",
groups={},
person_properties={"distinct_id": "feature_enabled_distinct_id"},
group_properties={},
disable_geoip=True,
)
patch_decide.reset_mock()
client.get_all_flags_and_payloads("all_flags_payloads_id")
patch_decide.assert_called_with(
"random_key",
"https://us.i.posthog.com",
timeout=3,
distinct_id="all_flags_payloads_id",
groups={},
person_properties={"distinct_id": "all_flags_payloads_id"},
group_properties={},
disable_geoip=False,
)
@mock.patch("posthog.client.Poller")
@mock.patch("posthog.client.get")
def test_call_identify_fails(self, patch_get, patch_poll):
@@ -479,3 +1054,70 @@ class TestClient(unittest.TestCase):
client.feature_flags = [{"key": "example", "is_simple_flag": False}]
self.assertFalse(client.feature_enabled("example", "distinct_id"))
@mock.patch("posthog.client.decide")
def test_default_properties_get_added_properly(self, patch_decide):
patch_decide.return_value = {
"featureFlags": {"beta-feature": "random-variant", "alpha-feature": True, "off-feature": False}
}
client = Client(FAKE_TEST_API_KEY, host="http://app2.posthog.com", on_error=self.set_fail, disable_geoip=False)
client.get_feature_flag(
"random_key",
"some_id",
groups={"company": "id:5", "instance": "app.posthog.com"},
person_properties={"x1": "y1"},
group_properties={"company": {"x": "y"}},
)
patch_decide.assert_called_with(
"random_key",
"http://app2.posthog.com",
timeout=3,
distinct_id="some_id",
groups={"company": "id:5", "instance": "app.posthog.com"},
person_properties={"distinct_id": "some_id", "x1": "y1"},
group_properties={
"company": {"$group_key": "id:5", "x": "y"},
"instance": {"$group_key": "app.posthog.com"},
},
disable_geoip=False,
)
patch_decide.reset_mock()
client.get_feature_flag(
"random_key",
"some_id",
groups={"company": "id:5", "instance": "app.posthog.com"},
person_properties={"distinct_id": "override"},
group_properties={
"company": {
"$group_key": "group_override",
}
},
)
patch_decide.assert_called_with(
"random_key",
"http://app2.posthog.com",
timeout=3,
distinct_id="some_id",
groups={"company": "id:5", "instance": "app.posthog.com"},
person_properties={"distinct_id": "override"},
group_properties={
"company": {"$group_key": "group_override"},
"instance": {"$group_key": "app.posthog.com"},
},
disable_geoip=False,
)
patch_decide.reset_mock()
# test nones
client.get_all_flags_and_payloads("some_id", groups={}, person_properties=None, group_properties=None)
patch_decide.assert_called_with(
"random_key",
"http://app2.posthog.com",
timeout=3,
distinct_id="some_id",
groups={},
person_properties={"distinct_id": "some_id"},
group_properties={},
disable_geoip=False,
)
+9 -4
View File
@@ -145,15 +145,20 @@ class TestConsumer(unittest.TestCase):
def test_max_batch_size(self):
q = Queue()
consumer = Consumer(q, TEST_API_KEY, flush_at=100000, flush_interval=3)
track = {"type": "track", "event": "python event", "distinct_id": "distinct_id"}
properties = {}
for n in range(0, 500):
properties[str(n)] = "one_long_property_value_to_build_a_big_event"
track = {"type": "track", "event": "python event", "distinct_id": "distinct_id", "properties": properties}
msg_size = len(json.dumps(track).encode())
# number of messages in a maximum-size batch
n_msgs = int(475000 / msg_size)
# Let's capture 8MB of data to trigger two batches
n_msgs = int(8_000_000 / msg_size)
def mock_post_fn(_, data, **kwargs):
res = mock.Mock()
res.status_code = 200
self.assertTrue(len(data.encode()) < 500000, "batch size (%d) exceeds 500KB limit" % len(data.encode()))
request_size = len(data.encode())
# Batches close after the first message bringing it bigger than BATCH_SIZE_LIMIT, let's add 10% of margin
self.assertTrue(request_size < (5 * 1024 * 1024) * 1.1, "batch size (%d) higher than limit" % request_size)
return res
with mock.patch("posthog.request._session.post", side_effect=mock_post_fn) as mock_post:
+63
View File
@@ -0,0 +1,63 @@
import subprocess
import sys
from textwrap import dedent
import pytest
def test_excepthook(tmpdir):
app = tmpdir.join("app.py")
app.write(
dedent(
"""
from posthog import Posthog
posthog = Posthog('phc_x', host='https://eu.i.posthog.com', enable_exception_autocapture=True, debug=True, on_error=lambda e, batch: print('error handling batch: ', e, batch))
# frame_value = "LOL"
1/0
"""
)
)
with pytest.raises(subprocess.CalledProcessError) as excinfo:
subprocess.check_output([sys.executable, str(app)], stderr=subprocess.STDOUT)
output = excinfo.value.output
assert b"ZeroDivisionError" in output
assert b"LOL" in output
assert b"DEBUG:posthog:data uploaded successfully" in output
assert (
b'"$exception_list": [{"mechanism": {"type": "generic", "handled": true}, "module": null, "type": "ZeroDivisionError", "value": "division by zero", "stacktrace": {"frames": [{"platform": "python", "filename": "app.py", "abs_path"'
in output
)
def test_trying_to_use_django_integration(tmpdir):
app = tmpdir.join("app.py")
app.write(
dedent(
"""
from posthog import Posthog, Integrations
posthog = Posthog('phc_x', host='https://eu.i.posthog.com', enable_exception_autocapture=True, exception_autocapture_integrations=[Integrations.Django], debug=True, on_error=lambda e, batch: print('error handling batch: ', e, batch))
# frame_value = "LOL"
1/0
"""
)
)
with pytest.raises(subprocess.CalledProcessError) as excinfo:
subprocess.check_output([sys.executable, str(app)], stderr=subprocess.STDOUT)
output = excinfo.value.output
assert b"ZeroDivisionError" in output
assert b"LOL" in output
assert b"DEBUG:posthog:data uploaded successfully" in output
assert (
b'"$exception_list": [{"mechanism": {"type": "generic", "handled": true}, "module": null, "type": "ZeroDivisionError", "value": "division by zero", "stacktrace": {"frames": [{"platform": "python", "filename": "app.py", "abs_path"'
in output
)
+530 -10
View File
@@ -6,7 +6,7 @@ from dateutil import parser, tz
from freezegun import freeze_time
from posthog.client import Client
from posthog.feature_flags import InconclusiveMatchError, match_property
from posthog.feature_flags import InconclusiveMatchError, match_property, relative_date_parse_for_feature_flag_matching
from posthog.request import APIError
from posthog.test.test_utils import FAKE_TEST_API_KEY
@@ -960,6 +960,60 @@ class TestLocalEvaluation(unittest.TestCase):
self.assertEqual(patch_decide.call_count, 0)
self.assertEqual(patch_capture.call_count, 0)
@mock.patch("posthog.client.decide")
@mock.patch("posthog.client.get")
def test_feature_flags_local_evaluation_None_values(self, patch_get, patch_decide):
client = Client(FAKE_TEST_API_KEY, personal_api_key=FAKE_TEST_API_KEY)
client.feature_flags = [
{
id: 1,
"name": "Beta Feature",
"key": "beta-feature",
"is_simple_flag": True,
"active": True,
"filters": {
"groups": [
{
"variant": None,
"properties": [
{"key": "latestBuildVersion", "type": "person", "value": ".+", "operator": "regex"},
{"key": "latestBuildVersionMajor", "type": "person", "value": "23", "operator": "gt"},
{"key": "latestBuildVersionMinor", "type": "person", "value": "31", "operator": "gt"},
{"key": "latestBuildVersionPatch", "type": "person", "value": "0", "operator": "gt"},
],
"rollout_percentage": 100,
}
],
},
},
]
feature_flag_match = client.get_feature_flag(
"beta-feature",
"some-distinct-id",
person_properties={
"latestBuildVersion": None,
"latestBuildVersionMajor": None,
"latestBuildVersionMinor": None,
"latestBuildVersionPatch": None,
},
)
self.assertEqual(feature_flag_match, False)
self.assertEqual(patch_decide.call_count, 0)
self.assertEqual(patch_get.call_count, 0)
feature_flag_match = client.get_feature_flag(
"beta-feature",
"some-distinct-id",
person_properties={
"latestBuildVersion": "24.32..1",
"latestBuildVersionMajor": "24",
"latestBuildVersionMinor": "32",
"latestBuildVersionPatch": "1",
},
)
@mock.patch("posthog.client.decide")
@mock.patch("posthog.client.get")
def test_feature_flags_local_evaluation_for_cohorts(self, patch_get, patch_decide):
@@ -1578,9 +1632,10 @@ class TestLocalEvaluation(unittest.TestCase):
)
self.assertEqual(patch_decide.call_count, 0)
@mock.patch.object(Client, "capture")
@mock.patch("posthog.client.decide")
def test_boolean_feature_flag_payload_decide(self, patch_decide):
patch_decide.return_value = {"featureFlagPayloads": {"person-flag": 300}}
def test_boolean_feature_flag_payload_decide(self, patch_decide, patch_capture):
patch_decide.return_value = {"featureFlags": {"person-flag": True}, "featureFlagPayloads": {"person-flag": 300}}
self.assertEqual(
self.client.get_feature_flag_payload(
"person-flag", "some-distinct-id", person_properties={"region": "USA"}
@@ -1595,6 +1650,8 @@ class TestLocalEvaluation(unittest.TestCase):
300,
)
self.assertEqual(patch_decide.call_count, 2)
self.assertEqual(patch_capture.call_count, 1)
patch_capture.reset_mock()
@mock.patch("posthog.client.decide")
def test_multivariate_feature_flag_payloads(self, patch_decide):
@@ -1714,7 +1771,7 @@ class TestMatchProperties(unittest.TestCase):
self.assertTrue(match_property(property_a, {"key": "value"}))
self.assertTrue(match_property(property_a, {"key": "value2"}))
self.assertTrue(match_property(property_a, {"key": ""}))
self.assertTrue(match_property(property_a, {"key": None}))
self.assertFalse(match_property(property_a, {"key": None}))
with self.assertRaises(InconclusiveMatchError):
match_property(property_a, {"key2": "value"})
@@ -1775,7 +1832,8 @@ class TestMatchProperties(unittest.TestCase):
self.assertFalse(match_property(property_a, {"key": 0}))
self.assertFalse(match_property(property_a, {"key": -1}))
self.assertFalse(match_property(property_a, {"key": "23"}))
# now we handle type mismatches so this should be true
self.assertTrue(match_property(property_a, {"key": "23"}))
property_b = self.property(key="key", value=1, operator="lt")
self.assertTrue(match_property(property_b, {"key": 0}))
@@ -1792,7 +1850,8 @@ class TestMatchProperties(unittest.TestCase):
self.assertFalse(match_property(property_c, {"key": 0}))
self.assertFalse(match_property(property_c, {"key": -1}))
self.assertFalse(match_property(property_c, {"key": "3"}))
# now we handle type mismatches so this should be true
self.assertTrue(match_property(property_c, {"key": "3"}))
property_d = self.property(key="key", value="43", operator="lte")
self.assertTrue(match_property(property_d, {"key": "41"}))
@@ -1801,6 +1860,21 @@ class TestMatchProperties(unittest.TestCase):
self.assertFalse(match_property(property_d, {"key": "44"}))
self.assertFalse(match_property(property_d, {"key": 44}))
self.assertTrue(match_property(property_d, {"key": 42}))
property_e = self.property(key="key", value="30", operator="lt")
self.assertTrue(match_property(property_e, {"key": "29"}))
# depending on the type of override, we adjust type comparison
self.assertTrue(match_property(property_e, {"key": "100"}))
self.assertFalse(match_property(property_e, {"key": 100}))
property_f = self.property(key="key", value="123aloha", operator="gt")
self.assertFalse(match_property(property_f, {"key": "123"}))
self.assertFalse(match_property(property_f, {"key": 122}))
# this turns into a string comparison
self.assertTrue(match_property(property_f, {"key": 129}))
def test_match_property_date_operators(self):
property_a = self.property(key="key", value="2022-05-01", operator="is_date_before")
@@ -1854,6 +1928,303 @@ class TestMatchProperties(unittest.TestCase):
self.assertTrue(match_property(property_d, {"key": "2022-04-05 11:34:11 +00:00"}))
self.assertFalse(match_property(property_d, {"key": "2022-04-05 11:34:13 +00:00"}))
@freeze_time("2022-05-01")
def test_match_property_relative_date_operators(self):
property_a = self.property(key="key", value="-6h", operator="is_date_before")
self.assertTrue(match_property(property_a, {"key": "2022-03-01"}))
self.assertTrue(match_property(property_a, {"key": "2022-04-30"}))
self.assertTrue(match_property(property_a, {"key": datetime.datetime(2022, 4, 30, 1, 2, 3)}))
# false because date comparison, instead of datetime, so reduces to same date
self.assertFalse(match_property(property_a, {"key": datetime.date(2022, 4, 30)}))
self.assertFalse(match_property(property_a, {"key": datetime.datetime(2022, 4, 30, 19, 2, 3)}))
self.assertTrue(
match_property(
property_a,
{"key": datetime.datetime(2022, 4, 30, 1, 2, 3, tzinfo=tz.gettz("Europe/Madrid"))},
)
)
self.assertTrue(match_property(property_a, {"key": parser.parse("2022-04-30")}))
self.assertFalse(match_property(property_a, {"key": "2022-05-30"}))
# Can't be a number
with self.assertRaises(InconclusiveMatchError):
match_property(property_a, {"key": 1})
# can't be invalid string
with self.assertRaises(InconclusiveMatchError):
match_property(property_a, {"key": "abcdef"})
property_b = self.property(key="key", value="1h", operator="is_date_after")
self.assertTrue(match_property(property_b, {"key": "2022-05-02"}))
self.assertTrue(match_property(property_b, {"key": "2022-05-30"}))
self.assertTrue(match_property(property_b, {"key": datetime.datetime(2022, 5, 30)}))
self.assertTrue(match_property(property_b, {"key": parser.parse("2022-05-30")}))
self.assertFalse(match_property(property_b, {"key": "2022-04-30"}))
# can't be invalid string
with self.assertRaises(InconclusiveMatchError):
self.assertFalse(match_property(property_b, {"key": "abcdef"}))
# Invalid flag property
property_c = self.property(key="key", value=1234, operator="is_date_after")
with self.assertRaises(InconclusiveMatchError):
self.assertFalse(match_property(property_c, {"key": 1}))
# parsed as 1234-05-01 for some reason?
self.assertTrue(match_property(property_c, {"key": "2022-05-30"}))
# # Timezone aware property
property_d = self.property(key="key", value="12d", operator="is_date_before")
self.assertFalse(match_property(property_d, {"key": "2022-05-30"}))
self.assertTrue(match_property(property_d, {"key": "2022-03-30"}))
self.assertTrue(match_property(property_d, {"key": "2022-04-05 12:34:11+01:00"}))
self.assertTrue(match_property(property_d, {"key": "2022-04-19 01:34:11+02:00"}))
self.assertFalse(match_property(property_d, {"key": "2022-04-19 02:00:01+02:00"}))
# Try all possible relative dates
property_e = self.property(key="key", value="1h", operator="is_date_before")
self.assertFalse(match_property(property_e, {"key": "2022-05-01 00:00:00"}))
self.assertTrue(match_property(property_e, {"key": "2022-04-30 22:00:00"}))
property_f = self.property(key="key", value="-1d", operator="is_date_before")
self.assertTrue(match_property(property_f, {"key": "2022-04-29 23:59:00"}))
self.assertFalse(match_property(property_f, {"key": "2022-04-30 00:00:01"}))
property_g = self.property(key="key", value="1w", operator="is_date_before")
self.assertTrue(match_property(property_g, {"key": "2022-04-23 00:00:00"}))
self.assertFalse(match_property(property_g, {"key": "2022-04-24 00:00:00"}))
self.assertFalse(match_property(property_g, {"key": "2022-04-24 00:00:01"}))
property_h = self.property(key="key", value="1m", operator="is_date_before")
self.assertTrue(match_property(property_h, {"key": "2022-03-01 00:00:00"}))
self.assertFalse(match_property(property_h, {"key": "2022-04-05 00:00:00"}))
property_i = self.property(key="key", value="1y", operator="is_date_before")
self.assertTrue(match_property(property_i, {"key": "2021-04-28 00:00:00"}))
self.assertFalse(match_property(property_i, {"key": "2021-05-01 00:00:01"}))
property_j = self.property(key="key", value="122h", operator="is_date_after")
self.assertTrue(match_property(property_j, {"key": "2022-05-01 00:00:00"}))
self.assertFalse(match_property(property_j, {"key": "2022-04-23 01:00:00"}))
property_k = self.property(key="key", value="2d", operator="is_date_after")
self.assertTrue(match_property(property_k, {"key": "2022-05-01 00:00:00"}))
self.assertTrue(match_property(property_k, {"key": "2022-04-29 00:00:01"}))
self.assertFalse(match_property(property_k, {"key": "2022-04-29 00:00:00"}))
property_l = self.property(key="key", value="-02w", operator="is_date_after")
self.assertTrue(match_property(property_l, {"key": "2022-05-01 00:00:00"}))
self.assertFalse(match_property(property_l, {"key": "2022-04-16 00:00:00"}))
property_m = self.property(key="key", value="1m", operator="is_date_after")
self.assertTrue(match_property(property_m, {"key": "2022-04-01 00:00:01"}))
self.assertFalse(match_property(property_m, {"key": "2022-04-01 00:00:00"}))
property_n = self.property(key="key", value="1y", operator="is_date_after")
self.assertTrue(match_property(property_n, {"key": "2022-05-01 00:00:00"}))
self.assertTrue(match_property(property_n, {"key": "2021-05-01 00:00:01"}))
self.assertFalse(match_property(property_n, {"key": "2021-05-01 00:00:00"}))
self.assertFalse(match_property(property_n, {"key": "2021-04-30 00:00:00"}))
self.assertFalse(match_property(property_n, {"key": "2021-03-01 12:13:00"}))
def test_none_property_value_with_all_operators(self):
property_a = self.property(key="key", value="none", operator="is_not")
self.assertFalse(match_property(property_a, {"key": None}))
self.assertTrue(match_property(property_a, {"key": "non"}))
property_b = self.property(key="key", value=None, operator="is_set")
self.assertFalse(match_property(property_b, {"key": None}))
property_c = self.property(key="key", value="no", operator="icontains")
self.assertFalse(match_property(property_c, {"key": None}))
self.assertFalse(match_property(property_c, {"key": "smh"}))
property_d = self.property(key="key", value="No", operator="regex")
self.assertFalse(match_property(property_d, {"key": None}))
property_d_lower_case = self.property(key="key", value="no", operator="regex")
self.assertFalse(match_property(property_d_lower_case, {"key": None}))
property_e = self.property(key="key", value=1, operator="gt")
self.assertFalse(match_property(property_e, {"key": None}))
property_f = self.property(key="key", value=1, operator="lt")
self.assertFalse(match_property(property_f, {"key": None}))
property_g = self.property(key="key", value="xyz", operator="gte")
self.assertFalse(match_property(property_g, {"key": None}))
property_h = self.property(key="key", value="Oo", operator="lte")
self.assertFalse(match_property(property_h, {"key": None}))
property_i = self.property(key="key", value="2022-05-01", operator="is_date_before")
self.assertFalse(match_property(property_i, {"key": None}))
property_j = self.property(key="key", value="2022-05-01", operator="is_date_after")
self.assertFalse(match_property(property_j, {"key": None}))
property_k = self.property(key="key", value="2022-05-01", operator="is_date_before")
with self.assertRaises(InconclusiveMatchError):
self.assertFalse(match_property(property_k, {"key": "random"}))
def test_unknown_operator(self):
property_a = self.property(key="key", value="2022-05-01", operator="is_unknown")
with self.assertRaises(InconclusiveMatchError) as exception_context:
match_property(property_a, {"key": "random"})
self.assertEqual(str(exception_context.exception), "Unknown operator is_unknown")
class TestRelativeDateParsing(unittest.TestCase):
def test_invalid_input(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1") is None
assert relative_date_parse_for_feature_flag_matching("1x") is None
assert relative_date_parse_for_feature_flag_matching("1.2y") is None
assert relative_date_parse_for_feature_flag_matching("1z") is None
assert relative_date_parse_for_feature_flag_matching("1s") is None
assert relative_date_parse_for_feature_flag_matching("123344000.134m") is None
assert relative_date_parse_for_feature_flag_matching("bazinga") is None
assert relative_date_parse_for_feature_flag_matching("000bello") is None
assert relative_date_parse_for_feature_flag_matching("000hello") is None
assert relative_date_parse_for_feature_flag_matching("000h") is not None
assert relative_date_parse_for_feature_flag_matching("1000h") is not None
def test_overflow(self):
assert relative_date_parse_for_feature_flag_matching("1000000h") is None
assert relative_date_parse_for_feature_flag_matching("100000000000000000y") is None
def test_hour_parsing(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1h") == datetime.datetime(
2020, 1, 1, 11, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2h") == datetime.datetime(
2020, 1, 1, 10, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("24h") == datetime.datetime(
2019, 12, 31, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("30h") == datetime.datetime(
2019, 12, 31, 6, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("48h") == datetime.datetime(
2019, 12, 30, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching(
"24h"
) == relative_date_parse_for_feature_flag_matching("1d")
assert relative_date_parse_for_feature_flag_matching(
"48h"
) == relative_date_parse_for_feature_flag_matching("2d")
def test_day_parsing(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1d") == datetime.datetime(
2019, 12, 31, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2d") == datetime.datetime(
2019, 12, 30, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("7d") == datetime.datetime(
2019, 12, 25, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("14d") == datetime.datetime(
2019, 12, 18, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("30d") == datetime.datetime(
2019, 12, 2, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("7d") == relative_date_parse_for_feature_flag_matching(
"1w"
)
def test_week_parsing(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1w") == datetime.datetime(
2019, 12, 25, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2w") == datetime.datetime(
2019, 12, 18, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("4w") == datetime.datetime(
2019, 12, 4, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("8w") == datetime.datetime(
2019, 11, 6, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("1m") == datetime.datetime(
2019, 12, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("4w") != relative_date_parse_for_feature_flag_matching(
"1m"
)
def test_month_parsing(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1m") == datetime.datetime(
2019, 12, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2m") == datetime.datetime(
2019, 11, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("4m") == datetime.datetime(
2019, 9, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("8m") == datetime.datetime(
2019, 5, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("1y") == datetime.datetime(
2019, 1, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching(
"12m"
) == relative_date_parse_for_feature_flag_matching("1y")
with freeze_time("2020-04-03T00:00:00"):
assert relative_date_parse_for_feature_flag_matching("1m") == datetime.datetime(
2020, 3, 3, 0, 0, 0, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2m") == datetime.datetime(
2020, 2, 3, 0, 0, 0, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("4m") == datetime.datetime(
2019, 12, 3, 0, 0, 0, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("8m") == datetime.datetime(
2019, 8, 3, 0, 0, 0, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("1y") == datetime.datetime(
2019, 4, 3, 0, 0, 0, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching(
"12m"
) == relative_date_parse_for_feature_flag_matching("1y")
def test_year_parsing(self):
with freeze_time("2020-01-01T12:01:20.1340Z"):
assert relative_date_parse_for_feature_flag_matching("1y") == datetime.datetime(
2019, 1, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("2y") == datetime.datetime(
2018, 1, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("4y") == datetime.datetime(
2016, 1, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
assert relative_date_parse_for_feature_flag_matching("8y") == datetime.datetime(
2012, 1, 1, 12, 1, 20, 134000, tzinfo=tz.gettz("UTC")
)
class TestCaptureCalls(unittest.TestCase):
@mock.patch.object(Client, "capture")
@@ -1888,8 +2259,14 @@ class TestCaptureCalls(unittest.TestCase):
patch_capture.assert_called_with(
"some-distinct-id",
"$feature_flag_called",
{"$feature_flag": "complex-flag", "$feature_flag_response": True, "locally_evaluated": True},
{
"$feature_flag": "complex-flag",
"$feature_flag_response": True,
"locally_evaluated": True,
"$feature/complex-flag": True,
},
groups={},
disable_geoip=None,
)
patch_capture.reset_mock()
@@ -1912,8 +2289,14 @@ class TestCaptureCalls(unittest.TestCase):
patch_capture.assert_called_with(
"some-distinct-id2",
"$feature_flag_called",
{"$feature_flag": "complex-flag", "$feature_flag_response": True, "locally_evaluated": True},
{
"$feature_flag": "complex-flag",
"$feature_flag_response": True,
"locally_evaluated": True,
"$feature/complex-flag": True,
},
groups={},
disable_geoip=None,
)
patch_capture.reset_mock()
@@ -1944,8 +2327,139 @@ class TestCaptureCalls(unittest.TestCase):
patch_capture.assert_called_with(
"some-distinct-id2",
"$feature_flag_called",
{"$feature_flag": "decide-flag", "$feature_flag_response": "decide-value", "locally_evaluated": False},
{
"$feature_flag": "decide-flag",
"$feature_flag_response": "decide-value",
"locally_evaluated": False,
"$feature/decide-flag": "decide-value",
},
groups={"organization": "org1"},
disable_geoip=None,
)
@mock.patch.object(Client, "capture")
@mock.patch("posthog.client.decide")
def test_capture_is_called_in_get_feature_flag_payload(self, patch_decide, patch_capture):
patch_decide.return_value = {
"featureFlags": {"person-flag": True},
"featureFlagPayloads": {"person-flag": 300},
}
client = Client(api_key=FAKE_TEST_API_KEY, personal_api_key=FAKE_TEST_API_KEY)
client.feature_flags = [
{
"id": 1,
"name": "Beta Feature",
"key": "person-flag",
"is_simple_flag": False,
"active": True,
"filters": {
"groups": [
{
"properties": [{"key": "region", "value": "USA"}],
"rollout_percentage": 100,
}
],
},
}
]
# Call get_feature_flag_payload with match_value=None to trigger get_feature_flag
client.get_feature_flag_payload(
key="person-flag", distinct_id="some-distinct-id", person_properties={"region": "USA", "name": "Aloha"}
)
# Assert that capture was called once, with the correct parameters
self.assertEqual(patch_capture.call_count, 1)
patch_capture.assert_called_with(
"some-distinct-id",
"$feature_flag_called",
{
"$feature_flag": "person-flag",
"$feature_flag_response": True,
"$feature_flag_payload": 300,
"locally_evaluated": False,
"$feature/person-flag": True,
},
groups={},
disable_geoip=None,
)
# Reset mocks for further tests
patch_capture.reset_mock()
patch_decide.reset_mock()
# Call get_feature_flag_payload again for the same user; capture should not be called again because we've already reported an event for this distinct_id + flag
client.get_feature_flag_payload(
key="person-flag", distinct_id="some-distinct-id", person_properties={"region": "USA", "name": "Aloha"}
)
self.assertEqual(patch_capture.call_count, 0)
patch_capture.reset_mock()
# Call get_feature_flag_payload for a different user; capture should be called
client.get_feature_flag_payload(
key="person-flag", distinct_id="some-distinct-id2", person_properties={"region": "USA", "name": "Aloha"}
)
self.assertEqual(patch_capture.call_count, 1)
patch_capture.assert_called_with(
"some-distinct-id2",
"$feature_flag_called",
{
"$feature_flag": "person-flag",
"$feature_flag_response": True,
"$feature_flag_payload": 300,
"locally_evaluated": False,
"$feature/person-flag": True,
},
groups={},
disable_geoip=None,
)
patch_capture.reset_mock()
@mock.patch.object(Client, "capture")
@mock.patch("posthog.client.decide")
def test_disable_geoip_get_flag_capture_call(self, patch_decide, patch_capture):
patch_decide.return_value = {"featureFlags": {"decide-flag": "decide-value"}}
client = Client(FAKE_TEST_API_KEY, personal_api_key=FAKE_TEST_API_KEY, disable_geoip=True)
client.feature_flags = [
{
"id": 1,
"name": "Beta Feature",
"key": "complex-flag",
"is_simple_flag": False,
"active": True,
"filters": {
"groups": [
{
"properties": [{"key": "region", "value": "USA"}],
"rollout_percentage": 100,
}
],
},
}
]
client.get_feature_flag(
"complex-flag",
"some-distinct-id",
person_properties={"region": "USA", "name": "Aloha"},
disable_geoip=False,
)
patch_capture.assert_called_with(
"some-distinct-id",
"$feature_flag_called",
{
"$feature_flag": "complex-flag",
"$feature_flag_response": True,
"locally_evaluated": True,
"$feature/complex-flag": True,
},
groups={},
disable_geoip=False,
)
@mock.patch("posthog.client.MAX_DICT_SIZE", 100)
@@ -1977,8 +2491,14 @@ class TestCaptureCalls(unittest.TestCase):
patch_capture.assert_called_with(
distinct_id,
"$feature_flag_called",
{"$feature_flag": "complex-flag", "$feature_flag_response": True, "locally_evaluated": True},
{
"$feature_flag": "complex-flag",
"$feature_flag_response": True,
"locally_evaluated": True,
"$feature/complex-flag": True,
},
groups={},
disable_geoip=None,
)
self.assertEqual(len(client.distinct_ids_feature_flags_reported), i % 100 + 1)
+24 -16
View File
@@ -1,40 +1,48 @@
import unittest
import posthog
from posthog import Posthog
class TestModule(unittest.TestCase):
posthog = None
def _assert_enqueue_result(self, result):
self.assertEqual(type(result[0]), bool)
self.assertEqual(type(result[1]), dict)
def failed(self):
self.failed = True
def setUp(self):
self.failed = False
posthog.api_key = "testsecret"
posthog.on_error = self.failed
self.posthog = Posthog("testsecret", host="http://localhost:8000", on_error=self.failed)
def test_no_api_key(self):
posthog.api_key = None
self.assertRaises(Exception, posthog.capture)
self.posthog.api_key = None
self.assertRaises(Exception, self.posthog.capture)
def test_no_host(self):
posthog.host = None
self.assertRaises(Exception, posthog.capture)
self.posthog.host = None
self.assertRaises(Exception, self.posthog.capture)
def test_track(self):
posthog.capture("distinct_id", "python module event")
posthog.flush()
res = self.posthog.capture("distinct_id", "python module event")
self._assert_enqueue_result(res)
self.posthog.flush()
def test_identify(self):
posthog.identify("distinct_id", {"email": "user@email.com"})
posthog.flush()
res = self.posthog.identify("distinct_id", {"email": "user@email.com"})
self._assert_enqueue_result(res)
self.posthog.flush()
def test_alias(self):
posthog.alias("previousId", "distinct_id")
posthog.flush()
res = self.posthog.alias("previousId", "distinct_id")
self._assert_enqueue_result(res)
self.posthog.flush()
def test_page(self):
posthog.page("distinct_id", "https://posthog.com/contact")
posthog.flush()
self.posthog.page("distinct_id", "https://posthog.com/contact")
self.posthog.flush()
def test_flush(self):
posthog.flush()
self.posthog.flush()
+25 -1
View File
@@ -2,9 +2,10 @@ import json
import unittest
from datetime import date, datetime
import pytest
import requests
from posthog.request import DatetimeSerializer, batch_post
from posthog.request import DatetimeSerializer, batch_post, determine_server_host
from posthog.test.test_utils import TEST_API_KEY
@@ -42,3 +43,26 @@ class TestRequests(unittest.TestCase):
batch_post(
"key", batch=[{"distinct_id": "distinct_id", "event": "python event", "type": "track"}], timeout=0.0001
)
@pytest.mark.parametrize(
"host, expected",
[
("https://t.posthog.com", "https://t.posthog.com"),
("https://t.posthog.com/", "https://t.posthog.com/"),
("t.posthog.com", "t.posthog.com"),
("t.posthog.com/", "t.posthog.com/"),
("https://us.posthog.com.rg.proxy.com", "https://us.posthog.com.rg.proxy.com"),
("app.posthog.com", "app.posthog.com"),
("eu.posthog.com", "eu.posthog.com"),
("https://app.posthog.com", "https://us.i.posthog.com"),
("https://eu.posthog.com", "https://eu.i.posthog.com"),
("https://us.posthog.com", "https://us.i.posthog.com"),
("https://app.posthog.com/", "https://us.i.posthog.com"),
("https://eu.posthog.com/", "https://eu.i.posthog.com"),
("https://us.posthog.com/", "https://us.i.posthog.com"),
(None, "https://us.i.posthog.com"),
],
)
def test_routing_to_custom_host(host, expected):
assert determine_server_host(host) == expected
+1 -1
View File
@@ -1,4 +1,4 @@
VERSION = "2.4.2"
VERSION = "3.10.0"
if __name__ == "__main__":
print(VERSION, end="") # noqa: T201
@@ -13,6 +13,7 @@ Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
+3
View File
@@ -1,2 +1,5 @@
[bdist_wheel]
universal = 1
[tool:pytest]
asyncio_mode = auto
+38 -3
View File
@@ -14,7 +14,13 @@ long_description = """
PostHog is developer-friendly, self-hosted product analytics. posthog-python is the python package.
"""
install_requires = ["requests>=2.7,<3.0", "six>=1.5", "monotonic>=1.5", "backoff>=1.10.0", "python-dateutil>2.1"]
install_requires = [
"requests>=2.7,<3.0",
"six>=1.5",
"monotonic>=1.5",
"backoff>=1.10.0",
"python-dateutil>2.1",
]
extras_require = {
"dev": [
@@ -24,8 +30,25 @@ extras_require = {
"flake8-print",
"pre-commit",
],
"test": ["mock>=2.0.0", "freezegun==0.3.15", "pylint", "flake8", "coverage", "pytest"],
"test": [
"mock>=2.0.0",
"freezegun==0.3.15",
"pylint",
"flake8",
"coverage",
"pytest",
"pytest-timeout",
"pytest-asyncio",
"django",
"openai",
"anthropic",
"langgraph",
"langchain-community>=0.2.0",
"langchain-openai>=0.2.0",
"langchain-anthropic>=0.2.0",
],
"sentry": ["sentry-sdk", "django"],
"langchain": ["langchain>=0.2.0"],
}
setup(
@@ -37,7 +60,16 @@ setup(
maintainer="PostHog",
maintainer_email="hey@posthog.com",
test_suite="posthog.test.all",
packages=["posthog", "posthog.test", "posthog.sentry"],
packages=[
"posthog",
"posthog.ai",
"posthog.ai.langchain",
"posthog.ai.openai",
"posthog.ai.anthropic",
"posthog.test",
"posthog.sentry",
"posthog.exception_integrations",
],
license="MIT License",
install_requires=install_requires,
extras_require=extras_require,
@@ -60,5 +92,8 @@ setup(
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
)
+13 -1
View File
@@ -27,7 +27,16 @@ setup(
maintainer="PostHog",
maintainer_email="hey@posthog.com",
test_suite="posthoganalytics.test.all",
packages=["posthoganalytics", "posthoganalytics.test", "posthoganalytics.sentry"],
packages=[
"posthoganalytics",
"posthoganalytics.ai",
"posthoganalytics.ai.langchain",
"posthoganalytics.ai.openai",
"posthoganalytics.ai.anthropic",
"posthoganalytics.test",
"posthoganalytics.sentry",
"posthoganalytics.exception_integrations",
],
license="MIT License",
install_requires=install_requires,
tests_require=tests_require,
@@ -53,5 +62,8 @@ setup(
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
)