mirror of
https://github.com/httpie/cli.git
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4f1c9441c5
* Fix encoding error with non-prettified encoded responses
Removed `--format-option response.as` an promote `--response-as`: using
the format option would be misleading as it is now also used by non-prettified
responses.
* Encoding refactoring
* split --response-as into --response-mime and --response-charset
* add support for Content-Type charset for requests printed to terminal
* add support charset detection for requests printed to terminal without a Content-Type charset
* etc.
* `test_unicode.py` → `test_encoding.py`
* Drop sequence length check
* Clean-up tests
* [skip ci] Tweaks
* Use the compatible release clause for `charset_normalizer` requirement
Cf. https://www.python.org/dev/peps/pep-0440/#version-specifiers
* Clean-up
* Partially revert d52a4833e4
* Changelog
* Tweak tests
* [skip ci] Better test name
* Cleanup tests and add request body charset detection
* More test suite cleanups
* Cleanup
* Fix code style in test
* Improve detect_encoding() docstring
* Uniformize pytest.mark.parametrize() calls
* [skip ci] Comment out TODOs (will be tackled in a specific PR)
Co-authored-by: Jakub Roztocil <jakub@roztocil.co>
38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
import json
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import re
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from typing import Tuple
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from ..utils import load_json_preserve_order_and_dupe_keys
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from .lexers.json import PREFIX_REGEX
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def load_prefixed_json(data: str) -> Tuple[str, json.JSONDecoder]:
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"""Simple JSON loading from `data`.
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"""
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# First, the full data.
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try:
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return '', load_json_preserve_order_and_dupe_keys(data)
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except ValueError:
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pass
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# Then, try to find the start of the actual body.
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data_prefix, body = parse_prefixed_json(data)
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try:
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return data_prefix, load_json_preserve_order_and_dupe_keys(body)
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except ValueError:
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raise ValueError('Invalid JSON')
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def parse_prefixed_json(data: str) -> Tuple[str, str]:
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"""Find the potential JSON body from `data`.
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Sometimes the JSON body is prefixed with a XSSI magic string, specific to the server.
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Return a tuple (data prefix, actual JSON body).
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"""
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matches = re.findall(PREFIX_REGEX, data)
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data_prefix = matches[0] if matches else ''
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body = data[len(data_prefix):]
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return data_prefix, body
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