| Name | fakesnow JSON |
| Version |
0.9.28
JSON |
| download |
| home_page | None |
| Summary | Fake Snowflake Connector for Python. Run, mock and test Snowflake DB locally. |
| upload_time | 2025-02-09 12:32:36 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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|
| keywords |
snowflake
snowflakedb
fake
local
mock
testing
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# fakesnow ❄️
[](https://github.com/tekumara/fakesnow/actions/workflows/ci.yml)
[](https://github.com/tekumara/fakesnow/actions/workflows/release.yml)
[](https://pypi.org/project/fakesnow/)
[](https://pypi.org/project/fakesnow/)
Fake [Snowflake Connector for Python](https://docs.snowflake.com/en/user-guide/python-connector). Run and mock Snowflake DB locally.
## Install
```
pip install fakesnow
```
## Usage
Run script.py with fakesnow:
```shell
fakesnow script.py
```
Or a module, eg: pytest
```shell
fakesnow -m pytest
```
`fakesnow` executes `fakesnow.patch` before running the script or module.
### fakesnow.patch
To use fakesnow within your code:
```python
import fakesnow
import snowflake.connector
with fakesnow.patch():
conn = snowflake.connector.connect()
print(conn.cursor().execute("SELECT 'Hello fake world!'").fetchone())
```
The following imports are automatically patched:
- `import snowflake.connector.connect`
- `import snowflake.connector.pandas_tools.write_pandas`
To patch modules that use the `from ... import` syntax, manually specify them, eg: if _mymodule.py_ has the import:
```python
from snowflake.connector.pandas_tools import write_pandas
```
Then patch it using:
```python
with fakesnow.patch("mymodule.write_pandas"):
...
```
By default databases are in-memory. To persist databases between processes, specify a databases path:
```python
with fakesnow.patch(db_path="databases/"):
...
```
### pytest fixtures
pytest [fixtures](fakesnow/fixtures.py) are provided for testing. Example _conftest.py_:
```python
from typing import Iterator
import fakesnow.fixtures
import pytest
pytest_plugins = fakesnow.fixtures.__name__
@pytest.fixture(scope="session", autouse=True)
def setup(_fakesnow_session: None) -> Iterator[None]:
# the standard imports are now patched
...
yield
```
Or with `from ... import` patch targets:
```python
from typing import Iterator
import fakesnow
import pytest
@pytest.fixture(scope="session", autouse=True)
def _fakesnow_session() -> Iterator[None]:
with fakesnow.patch("mymodule.write_pandas"):
yield
```
## Implementation coverage
- [x] cursors and standard SQL
- [x] [get_result_batches()](https://docs.snowflake.com/en/user-guide/python-connector-api#get_result_batches)
- [x] information schema
- [x] multiple databases
- [x] [parameter binding](https://docs.snowflake.com/en/user-guide/python-connector-example#binding-data)
- [x] table comments
- [x] [write_pandas(..)](https://docs.snowflake.com/en/user-guide/python-connector-api#write_pandas)
- [ ] [access control](https://docs.snowflake.com/en/user-guide/security-access-control-overview)
- [ ] standalone/out of process api/support for faking non-python connectors
- [ ] [stored procedures](https://docs.snowflake.com/en/sql-reference/stored-procedures)
Partial support
- [x] date functions
- [x] regex functions
- [x] semi-structured data
- [x] tags
- [x] user management (See [tests/test_users.py](tests/test_users.py))
For more detail see [tests/test_fakes.py](tests/test_fakes.py)
## Caveats
- The order of rows is non deterministic and may not match Snowflake unless ORDER BY is fully specified.
- A more liberal Snowflake SQL dialect than used by a real Snowflake instance is supported, ie: some queries might pass using fakesnow that a real Snowflake instance would reject.
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) to get started and develop in this repo.
Raw data
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"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
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"keywords": "snowflake, snowflakedb, fake, local, mock, testing",
"author": null,
"author_email": null,
"download_url": null,
"platform": null,
"description": "# fakesnow \u2744\ufe0f\n\n[](https://github.com/tekumara/fakesnow/actions/workflows/ci.yml)\n[](https://github.com/tekumara/fakesnow/actions/workflows/release.yml)\n[](https://pypi.org/project/fakesnow/)\n[](https://pypi.org/project/fakesnow/)\n\nFake [Snowflake Connector for Python](https://docs.snowflake.com/en/user-guide/python-connector). Run and mock Snowflake DB locally.\n\n## Install\n\n```\npip install fakesnow\n```\n\n## Usage\n\nRun script.py with fakesnow:\n\n```shell\nfakesnow script.py\n```\n\nOr a module, eg: pytest\n\n```shell\nfakesnow -m pytest\n```\n\n`fakesnow` executes `fakesnow.patch` before running the script or module.\n\n### fakesnow.patch\n\nTo use fakesnow within your code:\n\n```python\nimport fakesnow\nimport snowflake.connector\n\nwith fakesnow.patch():\n conn = snowflake.connector.connect()\n\n print(conn.cursor().execute(\"SELECT 'Hello fake world!'\").fetchone())\n```\n\nThe following imports are automatically patched:\n\n- `import snowflake.connector.connect`\n- `import snowflake.connector.pandas_tools.write_pandas`\n\nTo patch modules that use the `from ... import` syntax, manually specify them, eg: if _mymodule.py_ has the import:\n\n```python\nfrom snowflake.connector.pandas_tools import write_pandas\n```\n\nThen patch it using:\n\n```python\nwith fakesnow.patch(\"mymodule.write_pandas\"):\n ...\n```\n\nBy default databases are in-memory. To persist databases between processes, specify a databases path:\n\n```python\nwith fakesnow.patch(db_path=\"databases/\"):\n ...\n```\n\n### pytest fixtures\n\npytest [fixtures](fakesnow/fixtures.py) are provided for testing. Example _conftest.py_:\n\n```python\nfrom typing import Iterator\n\nimport fakesnow.fixtures\nimport pytest\n\npytest_plugins = fakesnow.fixtures.__name__\n\n@pytest.fixture(scope=\"session\", autouse=True)\ndef setup(_fakesnow_session: None) -> Iterator[None]:\n # the standard imports are now patched\n ...\n yield\n```\n\nOr with `from ... import` patch targets:\n\n```python\nfrom typing import Iterator\n\nimport fakesnow\nimport pytest\n\n@pytest.fixture(scope=\"session\", autouse=True)\ndef _fakesnow_session() -> Iterator[None]:\n with fakesnow.patch(\"mymodule.write_pandas\"):\n yield\n```\n\n## Implementation coverage\n\n- [x] cursors and standard SQL\n- [x] [get_result_batches()](https://docs.snowflake.com/en/user-guide/python-connector-api#get_result_batches)\n- [x] information schema\n- [x] multiple databases\n- [x] [parameter binding](https://docs.snowflake.com/en/user-guide/python-connector-example#binding-data)\n- [x] table comments\n- [x] [write_pandas(..)](https://docs.snowflake.com/en/user-guide/python-connector-api#write_pandas)\n- [ ] [access control](https://docs.snowflake.com/en/user-guide/security-access-control-overview)\n- [ ] standalone/out of process api/support for faking non-python connectors\n- [ ] [stored procedures](https://docs.snowflake.com/en/sql-reference/stored-procedures)\n\nPartial support\n\n- [x] date functions\n- [x] regex functions\n- [x] semi-structured data\n- [x] tags\n- [x] user management (See [tests/test_users.py](tests/test_users.py))\n\nFor more detail see [tests/test_fakes.py](tests/test_fakes.py)\n\n## Caveats\n\n- The order of rows is non deterministic and may not match Snowflake unless ORDER BY is fully specified.\n- A more liberal Snowflake SQL dialect than used by a real Snowflake instance is supported, ie: some queries might pass using fakesnow that a real Snowflake instance would reject.\n\n## Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) to get started and develop in this repo.\n",
"bugtrack_url": null,
"license": "Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n \n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n \n 1. Definitions.\n \n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n \n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n \n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. For the purposes of this definition,\n \"control\" means (i) the power, direct or indirect, to cause the\n direction or management of such entity, whether by contract or\n otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n \n \"You\" (or \"Your\") shall mean an individual or Legal Entity\n exercising permissions granted by this License.\n \n \"Source\" form shall mean the preferred form for making modifications,\n including but not limited to software source code, documentation\n source, and configuration files.\n \n \"Object\" form shall mean any form resulting from mechanical\n transformation or translation of a Source form, including but\n not limited to compiled object code, generated documentation,\n and conversions to other media types.\n \n \"Work\" shall mean the work of authorship, whether in Source or\n Object form, made available under the License, as indicated by a\n copyright notice that is included in or attached to the work\n (an example is provided in the Appendix below).\n \n \"Derivative Works\" shall mean any work, whether in Source or Object\n form, that is based on (or derived from) the Work and for which the\n editorial revisions, annotations, elaborations, or other modifications\n represent, as a whole, an original work of authorship. For the purposes\n of this License, Derivative Works shall not include works that remain\n separable from, or merely link (or bind by name) to the interfaces of,\n the Work and Derivative Works thereof.\n \n \"Contribution\" shall mean any work of authorship, including\n the original version of the Work and any modifications or additions\n to that Work or Derivative Works thereof, that is intentionally\n submitted to Licensor for inclusion in the Work by the copyright owner\n or by an individual or Legal Entity authorized to submit on behalf of\n the copyright owner. For the purposes of this definition, \"submitted\"\n means any form of electronic, verbal, or written communication sent\n to the Licensor or its representatives, including but not limited to\n communication on electronic mailing lists, source code control systems,\n and issue tracking systems that are managed by, or on behalf of, the\n Licensor for the purpose of discussing and improving the Work, but\n excluding communication that is conspicuously marked or otherwise\n designated in writing by the copyright owner as \"Not a Contribution.\"\n \n \"Contributor\" shall mean Licensor and any individual or Legal Entity\n on behalf of whom a Contribution has been received by Licensor and\n subsequently incorporated within the Work.\n \n 2. Grant of Copyright License. Subject to the terms and conditions of\n this License, each Contributor hereby grants to You a perpetual,\n worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n copyright license to reproduce, prepare Derivative Works of,\n publicly display, publicly perform, sublicense, and distribute the\n Work and such Derivative Works in Source or Object form.\n \n 3. Grant of Patent License. Subject to the terms and conditions of\n this License, each Contributor hereby grants to You a perpetual,\n worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n (except as stated in this section) patent license to make, have made,\n use, offer to sell, sell, import, and otherwise transfer the Work,\n where such license applies only to those patent claims licensable\n by such Contributor that are necessarily infringed by their\n Contribution(s) alone or by combination of their Contribution(s)\n with the Work to which such Contribution(s) was submitted. If You\n institute patent litigation against any entity (including a\n cross-claim or counterclaim in a lawsuit) alleging that the Work\n or a Contribution incorporated within the Work constitutes direct\n or contributory patent infringement, then any patent licenses\n granted to You under this License for that Work shall terminate\n as of the date such litigation is filed.\n \n 4. Redistribution. You may reproduce and distribute copies of the\n Work or Derivative Works thereof in any medium, with or without\n modifications, and in Source or Object form, provided that You\n meet the following conditions:\n \n (a) You must give any other recipients of the Work or\n Derivative Works a copy of this License; and\n \n (b) You must cause any modified files to carry prominent notices\n stating that You changed the files; and\n \n (c) You must retain, in the Source form of any Derivative Works\n that You distribute, all copyright, patent, trademark, and\n attribution notices from the Source form of the Work,\n excluding those notices that do not pertain to any part of\n the Derivative Works; and\n \n (d) If the Work includes a \"NOTICE\" text file as part of its\n distribution, then any Derivative Works that You distribute must\n include a readable copy of the attribution notices contained\n within such NOTICE file, excluding those notices that do not\n pertain to any part of the Derivative Works, in at least one\n of the following places: within a NOTICE text file distributed\n as part of the Derivative Works; within the Source form or\n documentation, if provided along with the Derivative Works; or,\n within a display generated by the Derivative Works, if and\n wherever such third-party notices normally appear. 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In no event and under no legal theory,\n whether in tort (including negligence), contract, or otherwise,\n unless required by applicable law (such as deliberate and grossly\n negligent acts) or agreed to in writing, shall any Contributor be\n liable to You for damages, including any direct, indirect, special,\n incidental, or consequential damages of any character arising as a\n result of this License or out of the use or inability to use the\n Work (including but not limited to damages for loss of goodwill,\n work stoppage, computer failure or malfunction, or any and all\n other commercial damages or losses), even if such Contributor\n has been advised of the possibility of such damages.\n \n 9. Accepting Warranty or Additional Liability. While redistributing\n the Work or Derivative Works thereof, You may choose to offer,\n and charge a fee for, acceptance of support, warranty, indemnity,\n or other liability obligations and/or rights consistent with this\n License. However, in accepting such obligations, You may act only\n on Your own behalf and on Your sole responsibility, not on behalf\n of any other Contributor, and only if You agree to indemnify,\n defend, and hold each Contributor harmless for any liability\n incurred by, or claims asserted against, such Contributor by reason\n of your accepting any such warranty or additional liability.\n \n END OF TERMS AND CONDITIONS\n \n APPENDIX: How to apply the Apache License to your work.\n \n To apply the Apache License to your work, attach the following\n boilerplate notice, with the fields enclosed by brackets \"[]\"\n replaced with your own identifying information. (Don't include\n the brackets!) The text should be enclosed in the appropriate\n comment syntax for the file format. We also recommend that a\n file or class name and description of purpose be included on the\n same \"printed page\" as the copyright notice for easier\n identification within third-party archives.\n \n Copyright 2023 Oliver Mannion\n \n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n \n http://www.apache.org/licenses/LICENSE-2.0\n \n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n ",
"summary": "Fake Snowflake Connector for Python. Run, mock and test Snowflake DB locally.",
"version": "0.9.28",
"project_urls": {
"homepage": "https://github.com/tekumara/fakesnow"
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