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Remove comments in output json str, after json value content, maybe start with #, maybe start with //, particularly, it is not inside the string value Addtionly, if you do not want JSONDecodeError to occur, you can add 'Delete comments in json' after FORMAT_CONSTRAINT in action_node.py
…Delete comments in json' after FORMAT_CONSTRAINT in action_node.py
metagpt/actions/action_node.py
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| LANGUAGE_CONSTRAINT = "Language: Please use the same language as Human INPUT." | ||
| FORMAT_CONSTRAINT = f"Format: output wrapped inside [{TAG}][/{TAG}] like format example, nothing else." | ||
| FORMAT_CONSTRAINT = (f"Format: output wrapped inside [{TAG}][/{TAG}] like format example, nothing else. " | ||
| f"Delete comments in json") |
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due to ActionNode can generate json or markdown format example, we suggest not to add explicit json keyword in template str. Can the new added code in repair_llm_xx solved the problem, If so, maybe it's no need to add here.
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Well, I agree with you.
metagpt/actions/action_node.py
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| FORMAT_CONSTRAINT = (f"Format: output wrapped inside [{TAG}][/{TAG}] like format example, nothing else. " | ||
| f"Delete comments in json") | ||
| # Delete comments in json | ||
| # If you don't want JSONDecodeError to occur, you can add Delete comments in json after FORMAT_CONSTRAINT |
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seems no need to add this explanation in extra lines.
| elif line.endswith("},") and output.endswith("},"): | ||
| new_line = line[:-1] | ||
| # remove comments in output json str, after json value content, maybe start with #, maybe start with // | ||
| elif rline[col_no] == "#" or rline[col_no] == "/": |
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since you have removed comments in the repair pipeline in repair_json_format , there is no need to do it again here.
| return output | ||
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| def remove_comments_from_line(line): |
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add unittest case for // like https://github.com/geekan/MetaGPT/blob/main/tests/metagpt/utils/test_repair_llm_raw_output.py#L131-L141
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Modify code based on feedback of action_node.py and repair_llm_raw_output.py, add code in test_repair_llm_raw_output.py. Please have a look, thanks.
…tput.py, add code in test_repair_llm_raw_output.py
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LGTM |
3 participants
Solve JSONDecodeError, about issue #749
To avoid JSONDecodeError:
Remove comments in output json str, after json value content, maybe start with #, maybe start with //, particularly, it is not inside the string value
Addtionly, if you do not want JSONDecodeError to occur, you can add 'Delete comments in json' after FORMAT_CONSTRAINT in action_node.py
Features
The json content returned by a LLM may contain comments, maybe start with #, maybe start with //, it's random. This can lead to subsequent json parsing errors that affect the overall code execution.
The Error has happened whether I use gpt-4-1106-preview or GLM-4.
These code changes are intended to fix this problem.
Feature Docs
Influence
These code changes are intended to fix JSONDecodeError.
Result
See the issue #749 in detail
The json comments maybe start with #
The json comments maybe start with //
So we need to fix the code repair_llm_raw_output.py.
Add the second way to fix bug about raised JSONDecodeError:
Add prompt "Delete comments in json" of FORMAT_CONSTRAINT in action_node.py, as follows:
raised JSONDecodeError as follows:
add "Delete comments in json", solve the problem:
