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import os | |
from datetime import datetime, timedelta | |
import json | |
from http.server import SimpleHTTPRequestHandler, ThreadingHTTPServer | |
from urllib.parse import parse_qs, urlparse | |
from huggingface_hub import list_datasets, set_access_token, HfFolder | |
from datasets import load_dataset | |
import numpy as np | |
HF_TOKEN = os.environ['HF_TOKEN'] | |
set_access_token(HF_TOKEN) | |
HfFolder.save_token(HF_TOKEN) | |
def running_mean(x, N, total_length=-1): | |
cumsum = np.cumsum(np.insert(x, 0, 0)) | |
to_pad = max(total_length - len(cumsum), 0) | |
return np.pad(cumsum[N:] - cumsum[:-N], (to_pad, 0)) / float(N) | |
class RequestHandler(SimpleHTTPRequestHandler): | |
def do_GET(self): | |
print(self.path) | |
if self.path == "/": | |
self.path = "index.html" | |
return SimpleHTTPRequestHandler.do_GET(self) | |
if self.path.startswith("/initialize"): | |
metrics_datasets = [d.id.split('/')[1] for d in list_datasets(author='open-source-metrics', use_auth_token=True)] | |
pip_installs_datasets = [d.split('-')[0] for d in metrics_datasets if 'pip' in d] | |
self.send_response(200) | |
self.send_header("Content-Type", "application/json") | |
self.end_headers() | |
self.wfile.write(json.dumps(pip_installs_datasets).encode("utf-8")) | |
return SimpleHTTPRequestHandler | |
if self.path.startswith("/retrievePipInstalls"): | |
url = urlparse(self.path) | |
query = parse_qs(url.query) | |
library_names = query.get("input", None)[0] | |
library_names = library_names.split(',') | |
returned_values = {} | |
for library_name in library_names: | |
dataset = load_dataset(f"open-source-metrics/{library_name}-pip-installs", use_auth_token=True)['train'] | |
for i in dataset: | |
if i['day'] in returned_values: | |
returned_values[i['day']][library_name] = i['num_downloads'] | |
else: | |
returned_values[i['day']] = {library_name: i['num_downloads']} | |
for library_name in library_names: | |
for i in returned_values.keys(): | |
if library_name not in returned_values[i]: | |
returned_values[i][library_name] = 0 | |
output = {l: [k[l] for k in returned_values.values()][::-1] for l in library_names} | |
output['day'] = list(returned_values.keys())[::-1] | |
self.send_response(200) | |
self.send_header("Content-Type", "application/json") | |
self.end_headers() | |
self.wfile.write(json.dumps(output).encode("utf-8")) | |
return SimpleHTTPRequestHandler | |
if self.path.startswith("/retrieveStars"): | |
url = urlparse(self.path) | |
query = parse_qs(url.query) | |
library_names = query.get("input", None)[0] | |
library_names = library_names.split(',') | |
returned_values = {} | |
dataset_dict = load_dataset(f"open-source-metrics/stars", use_auth_token=True, revision='90cb31b2db73c8c4291bcf317d831595e4fb2a91').sort('dates') | |
for library_name in library_names: | |
dataset = dataset_dict[library_name] | |
n = 0 | |
for i in dataset: | |
n += 1 | |
if i['dates'] in returned_values: | |
returned_values[i['dates']][library_name] = n | |
else: | |
returned_values[i['dates']] = {library_name: n} | |
for library_name in library_names: | |
for i in returned_values.keys(): | |
if library_name not in returned_values[i]: | |
returned_values[i][library_name] = None | |
output = {l: [k[l] for k in returned_values.values()][::-1] for l in library_names} | |
output['day'] = list(returned_values.keys())[::-1] | |
self.send_response(200) | |
self.send_header("Content-Type", "application/json") | |
self.end_headers() | |
self.wfile.write(json.dumps(output).encode("utf-8")) | |
return SimpleHTTPRequestHandler | |
return SimpleHTTPRequestHandler.do_GET(self) | |
server = ThreadingHTTPServer(("", 7860), RequestHandler) | |
print("Running on port 7860") | |
server.serve_forever() | |