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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,109 @@ | ||
| import os, shutil | ||
| import support as support | ||
| from elasticsearch import Elasticsearch | ||
|
|
||
| def increment_version(version): | ||
| major, minor, patch = map(int, version.split('.')) | ||
| return f"{major}.{minor}.{patch + 1}" | ||
|
|
||
| def get_version(es: Elasticsearch, index_name, asset, mcu_list): | ||
| # Search query to use | ||
| query_search = { | ||
| "size": 5000, | ||
| "query": { | ||
| "match_all": {} | ||
| } | ||
| } | ||
|
|
||
| # Search the base with provided query | ||
| search_es_name = asset | ||
| num_of_retries = 1 | ||
| while num_of_retries <= 10: | ||
| try: | ||
| response = es.search(index=index_name, body=query_search) | ||
| if not response['timed_out']: | ||
| break | ||
| except: | ||
| print("Executing search query - retry number %i" % num_of_retries) | ||
| num_of_retries += 1 | ||
|
|
||
| indexed_version = None | ||
| for eachHit in response['hits']['hits']: | ||
| if not 'name' in eachHit['_source']: | ||
| continue | ||
| name = eachHit['_source']['name'] | ||
| if name == search_es_name: | ||
| if 'version' in eachHit['_source']: | ||
| indexed_version = eachHit['_source']['version'] | ||
| indexed_mcus = eachHit['_source']['mcus'] | ||
|
|
||
| new_version = indexed_version | ||
|
|
||
| updated = False | ||
| if new_version: | ||
| for mcu in mcu_list: | ||
| if mcu not in indexed_mcus: | ||
| updated = True | ||
| if indexed_version.startswith('v'): | ||
| new_version = f'v{increment_version(indexed_version[1:])}' | ||
| else: | ||
| new_version = increment_version(indexed_version) | ||
| break | ||
| else: | ||
| new_version = '0.0.1' | ||
|
|
||
| return new_version, updated | ||
|
|
||
| def convert_item_to_json(docLink, saveToFile=False): | ||
| import urllib.request | ||
|
|
||
| with urllib.request.urlopen(docLink) as f: | ||
| html = f.read().decode('utf-8') | ||
| with open(os.path.join(os.path.dirname(__file__), 'devices.txt'), 'w') as devices: | ||
| devices.write(html) | ||
| devices.close() | ||
|
|
||
| import pandas as pd | ||
| import numpy as np | ||
|
|
||
| # Read the CSV file | ||
| df = pd.read_csv(os.path.join(os.path.dirname(__file__), "devices.txt")) | ||
|
|
||
| # Replace NaN with False for all other columns except 'package_name' | ||
| df.replace({np.nan: False}, inplace=True) | ||
|
|
||
| # Drop rows where `package_name` is NaN or invalid | ||
| df = df[df['package_name'] != False] | ||
|
|
||
| # Group by `package_name` and restructure data | ||
| grouped_programmer_data = {} | ||
|
|
||
| for package_name, group in df.groupby("package_name"): | ||
| # Get the first row of the group to extract common package details | ||
| package_details = group.iloc[0][[ | ||
| "vendor", | ||
| "programmers", | ||
| "debuggers", | ||
| "category", | ||
| "package_name", | ||
| "package_version", | ||
| "display_name", | ||
| "install_location", | ||
| "download_link", | ||
| "dependencies", | ||
| ]].to_dict() | ||
|
|
||
| # Add the list of MCU names under the key "mcus" | ||
| package_details["mcus"] = group["name"].tolist() | ||
|
|
||
| # Store the result by package_name | ||
| grouped_programmer_data[package_name] = package_details | ||
| if os.path.exists(os.path.join(os.path.dirname(__file__), "devices.txt")): | ||
| os.remove(os.path.join(os.path.dirname(__file__), "devices.txt")) | ||
|
|
||
| if saveToFile: | ||
| import json | ||
| with open(os.path.join(os.path.dirname(__file__), 'devices.json'), 'w') as json_file: | ||
| json_file.write(json.dumps(grouped_programmer_data, indent=4)) | ||
|
|
||
| return grouped_programmer_data |
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