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Merge pull request #222 from MikroElektronika/new-feature/add-codegri…
…p-packages Added script for codegrip package indexing
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Original file line number | Diff line number | Diff line change |
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import os, shutil | ||
import support as support | ||
from elasticsearch import Elasticsearch | ||
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def increment_version(version): | ||
major, minor, patch = map(int, version.split('.')) | ||
return f"{major}.{minor}.{patch + 1}" | ||
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def get_version(es: Elasticsearch, index_name, asset, mcu_list): | ||
# Search query to use | ||
query_search = { | ||
"size": 5000, | ||
"query": { | ||
"match_all": {} | ||
} | ||
} | ||
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# 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 | ||
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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'] | ||
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new_version = indexed_version | ||
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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' | ||
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return new_version, updated | ||
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def convert_item_to_json(docLink, saveToFile=False): | ||
import urllib.request | ||
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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() | ||
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import pandas as pd | ||
import numpy as np | ||
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# Read the CSV file | ||
df = pd.read_csv(os.path.join(os.path.dirname(__file__), "devices.txt")) | ||
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# Replace NaN with False for all other columns except 'package_name' | ||
df.replace({np.nan: False}, inplace=True) | ||
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# Drop rows where `package_name` is NaN or invalid | ||
df = df[df['package_name'] != False] | ||
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# Group by `package_name` and restructure data | ||
grouped_programmer_data = {} | ||
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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() | ||
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# Add the list of MCU names under the key "mcus" | ||
package_details["mcus"] = group["name"].tolist() | ||
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# 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")) | ||
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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)) | ||
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return grouped_programmer_data |
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