feat: Add development tooling scripts
Add utility scripts for development workflow: - tests/run_all_tests.sh: Test runner script for automated testing - tools/gitea_issues.py: Issue tracking integration tool These support the development and testing workflow for McRogueFace. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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tools/gitea_issues.py
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102
tools/gitea_issues.py
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import json
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from time import time
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#with open("/home/john/issues.json", "r") as f:
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# data = json.loads(f.read())
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#with open("/home/john/issues2.json", "r") as f:
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# data.extend(json.loads(f.read()))
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print("Fetching issues...", end='')
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start = time()
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from gitea import Gitea, Repository, Issue
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g = Gitea("https://gamedev.ffwf.net/gitea", token_text="febad52bd50f87fb17691c5e972597d6fff73452")
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repo = Repository.request(g, "john", "McRogueFace")
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issues = repo.get_issues()
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dur = time() - start
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print(f"({dur:.1f}s)")
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print("Gitea Version: " + g.get_version())
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print("API-Token belongs to user: " + g.get_user().username)
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data = [
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{
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"labels": i.labels,
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"body": i.body,
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"number": i.number,
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}
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for i in issues
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]
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input()
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def front_number(txt):
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if not txt[0].isdigit(): return None
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number = ""
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for c in txt:
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if not c.isdigit():
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break
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number += c
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return int(number)
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def split_any(txt, splitters):
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tokens = []
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txt = [txt]
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for s in splitters:
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for t in txt:
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tokens.extend(t.split(s))
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txt = tokens
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tokens = []
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return txt
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def find_refs(txt):
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tokens = [tok for tok in split_any(txt, ' ,;\t\r\n') if tok.startswith('#')]
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return [front_number(tok[1:]) for tok in tokens]
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from collections import defaultdict
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issue_relations = defaultdict(list)
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nodes = set()
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for issue in data:
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#refs = issue['body'].split('#')[1::2]
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#refs = [front_number(r) for r in refs if front_number(r) is not None]
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refs = find_refs(issue['body'])
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print(issue['number'], ':', refs)
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issue_relations[issue['number']].extend(refs)
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nodes.add(issue['number'])
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for r in refs:
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nodes.add(r)
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issue_relations[r].append(issue['number'])
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# Find issue labels
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issue_labels = {}
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for d in data:
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labels = [l['name'] for l in d['labels']]
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#print(d['number'], labels)
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issue_labels[d['number']] = labels
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import networkx as nx
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import matplotlib.pyplot as plt
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relations = nx.Graph()
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for k in issue_relations:
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relations.add_node(k)
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for r in issue_relations[k]:
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relations.add_edge(k, r)
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relations.add_edge(r, k)
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#nx.draw_networkx(relations)
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pos = nx.spring_layout(relations)
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nx.draw_networkx_nodes(relations, pos,
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nodelist = [n for n in issue_labels if 'Alpha Release Requirement' in issue_labels[n]],
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node_color="tab:red")
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nx.draw_networkx_nodes(relations, pos,
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nodelist = [n for n in issue_labels if 'Alpha Release Requirement' not in issue_labels[n]],
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node_color="tab:blue")
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nx.draw_networkx_edges(relations, pos,
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edgelist = relations.edges()
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)
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nx.draw_networkx_labels(relations, pos, {i: str(i) for i in relations.nodes()})
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plt.show()
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