58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
import os
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import json
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import yaml
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from utils.strings import get_name
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# TODO: prevent duplicates by only writing unique regex patterns to files
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# In some cases negations will result in a new regex pattern as of now
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# NOTE: would need to keep track of all duplicate patterns so that trash_id can still be matched
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def collect_regex_pattern(service, file_name, input_json, output_dir):
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# Find the first pattern in specifications
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pattern = None
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for spec in input_json.get("specifications", []):
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implementation = spec.get("implementation")
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if implementation not in [
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"ReleaseTitleSpecification",
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"ReleaseGroupSpecification",
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]:
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continue
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pattern = spec.get("fields", {}).get("value")
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if not pattern:
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print(f"No pattern found in {file_name} for {implementation}")
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continue
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# Compose YAML structure
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name = spec.get("name", "")
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yml_data = {
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"name": get_name(service, name),
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"pattern": pattern,
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"description": "",
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"tags": [],
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"tests": [],
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}
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# Output path
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output_path = os.path.join(
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output_dir,
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f"{get_name(service, name)}.yml",
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)
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with open(output_path, "w", encoding="utf-8") as f:
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yaml.dump(yml_data, f, sort_keys=False, allow_unicode=True)
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print(f"Generated: {output_path}")
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def collect_regex_patterns(service, input_dir, output_dir):
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for root, _, files in os.walk(input_dir):
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for filename in files:
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if not filename.endswith(".json"):
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continue
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file_path = os.path.join(root, filename)
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file_stem = os.path.splitext(filename)[0] # Filename without extension
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with open(file_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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collect_regex_pattern(service, file_stem, data, output_dir)
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