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71 changes: 46 additions & 25 deletions scripts/fleet/build_data.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,12 @@
scanning passes. Reads no checkout: its inputs are the JSON those passes wrote
under _fleet/data, and its output goes back there. See _fleet/README.md for the
whole pipeline.

Everything below the constants sits behind main(), so VOC can be imported and
checked against the other two prefix lists without reading or writing any data
(#97). Before that, importing this module loaded both JSON inputs and rewrote
fleet_data.json, so the test that pins the three lists to each other had to
parse VOC out of the source text instead.
"""
import os
REPO = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
Expand All @@ -13,29 +19,44 @@
from roots import CITATION, ORDER

S=DATA
sub=json.load(open(f"{S}/subsets_summary.json")); cen=json.load(open(f"{S}/prefix_census.json"))
VOC=["CHEBI","NCBITaxon","GO","ENVO","METPO","ARO","UniProt","InterPro","Pfam","RHEA","PDB","PATO","UBERON","FOODON","BTO","GTDB","KEGG","CAS","MIBiG","NPAtlas","PMID","DOI"]
edges=[]
for k,v in sub["edges"].items():
a,b=k.split("|")
if v["n"]==0: continue
edges.append({"a":a,"b":b,"n":v["n"],"by":v["by"],"ex":v["ex"]})
heat={m:{v:cen[m]["prefixes"].get(v,0) for v in VOC} for m in ORDER}
cells={k.replace("|","--"):n for k,n in sub["cells"].items()}

# Heatmap columns run left to right from the most widely shared vocabulary to
# the least: first by how many Mechs ground anything in it, then, for the many
# ties at nine and at one, by the total records citing it across the fleet.
# Name last so the order is stable when a vocabulary appears in no records.
def reach(v): return sum(1 for m in ORDER if heat[m][v])
def records(v): return sum(cells.get(f"{m}--{v}",0) for m in ORDER)
# CITATION comes from roots.py, the same list build_subsets.py uses to decide
# which prefixes get no record lists. Those two have to agree: a citation
# prefix would sort to the far left on Mech count with nothing to break the
# tie, which is what the pin exists to prevent.
VOC_ORDER=sorted((v for v in VOC if v not in CITATION),key=lambda v:(-reach(v),-records(v),v))+[v for v in CITATION if v in VOC]
for v in VOC_ORDER: print(f" {v:<10} {reach(v)} mechs {records(v):>9,} records")

json.dump({"order":ORDER,"voc":VOC_ORDER,"heat":heat,"cells":cells,"vocab_edges":edges},open(f"{S}/fleet_data.json","w"),separators=(",",":"),ensure_ascii=False)
print(len(edges),"edges;",os.path.getsize(f"{S}/fleet_data.json"),"bytes")
for e in sorted(edges,key=lambda e:-e["n"])[:6]: print(e["a"],e["b"],e["n"],e["by"],[x["label"] for x in e["ex"]])


def build(sub, cen):
"""The blob the page embeds, from the two scanning passes' output."""
edges=[]
for k,v in sub["edges"].items():
a,b=k.split("|")
if v["n"]==0: continue
edges.append({"a":a,"b":b,"n":v["n"],"by":v["by"],"ex":v["ex"]})
heat={m:{v:cen[m]["prefixes"].get(v,0) for v in VOC} for m in ORDER}
cells={k.replace("|","--"):n for k,n in sub["cells"].items()}

# Heatmap columns run left to right from the most widely shared vocabulary to
# the least: first by how many Mechs ground anything in it, then, for the many
# ties at nine and at one, by the total records citing it across the fleet.
# Name last so the order is stable when a vocabulary appears in no records.
def reach(v): return sum(1 for m in ORDER if heat[m][v])
def records(v): return sum(cells.get(f"{m}--{v}",0) for m in ORDER)
# CITATION comes from roots.py, the same list build_subsets.py uses to decide
# which prefixes get no record lists. Those two have to agree: a citation
# prefix would sort to the far left on Mech count with nothing to break the
# tie, which is what the pin exists to prevent.
VOC_ORDER=sorted((v for v in VOC if v not in CITATION),key=lambda v:(-reach(v),-records(v),v))+[v for v in CITATION if v in VOC]
for v in VOC_ORDER: print(f" {v:<10} {reach(v)} mechs {records(v):>9,} records")

return {"order":ORDER,"voc":VOC_ORDER,"heat":heat,"cells":cells,"vocab_edges":edges}


def main():
sub=json.load(open(f"{S}/subsets_summary.json")); cen=json.load(open(f"{S}/prefix_census.json"))
document=build(sub, cen)
with open(f"{S}/fleet_data.json","w") as handle:
json.dump(document,handle,separators=(",",":"),ensure_ascii=False)
edges=document["vocab_edges"]
print(len(edges),"edges;",os.path.getsize(f"{S}/fleet_data.json"),"bytes")
for e in sorted(edges,key=lambda e:-e["n"])[:6]: print(e["a"],e["b"],e["n"],e["by"],[x["label"] for x in e["ex"]])


if __name__ == "__main__":
main()
130 changes: 75 additions & 55 deletions scripts/fleet/build_subsets.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,10 @@
"MediaIngredientMech": GH+"MediaIngredientMech/blob/main/data/ingredients/",
"CultureMech": GH+"CultureMech/blob/main/data/merge_yaml/merged/",
}
MECHS={name: dict(root=mech_root(name), base=SITE_BASE[name]) for name in ORDER}
# Filled by prepare(). mech_root() touches the filesystem and exits on a
# missing checkout, so resolving these at import made the module unimportable
# and its prefix list unreadable without a scan (#97).
MECHS={}
PREF=["CHEBI","NCBITaxon","GO","ENVO","METPO","ARO","UniProt","InterPro","Pfam","PATO","UBERON","FOODON","KEGG","CAS","RHEA","PDB","BTO","GTDB","MIBiG","NPAtlas","DOI"]
NORM={"mibig":"MIBiG","npatlas":"NPAtlas","UniProtKB":"UniProt","PFAM":"Pfam","IPR":"InterPro","cas":"CAS","doi":"DOI","MeSH":"MESH"}
rx=re.compile(r"\b(CHEBI|NCBITaxon|GO|ENVO|METPO|ARO|UniProtKB|UniProt|InterPro|IPR|Pfam|PFAM|PATO|UBERON|FOODON|KEGG|CAS|cas|RHEA|PDB|BTO|GTDB|mibig|MIBiG|npatlas|NPAtlas|DOI|doi):([A-Za-z0-9_.\-/()]+)")
Expand All @@ -46,14 +49,25 @@ def unq(v):
while len(v)>=2 and v[0]==v[-1] and v[0] in "'\"": v=v[1:-1].strip()
return v.replace("''","'")
# HabitatMech publishes one page per record; the slug is matched against these.
hab_pages=set(os.path.basename(f)[:-5] for f in glob.glob(os.path.join(mech_root("HabitatMech"),"pages","habitats","*.html")))
if not hab_pages:
raise SystemExit("HabitatMech: no pages under pages/habitats; record links would silently be dropped")
# Also filled by prepare(), for the same reason as MECHS.
hab_pages=set()
hab_by_suffix=collections.defaultdict(list)
for n in hab_pages:
parts=n.split("-")
for k in range(1,len(parts)): hab_by_suffix["-".join(parts[k:])].append(n)
hab_collisions=[]


def prepare():
"""Resolve the checkouts and index HabitatMech's pages.

Everything here reads the filesystem, which is why it is not at import.
"""
MECHS.update({name: dict(root=mech_root(name), base=SITE_BASE[name]) for name in ORDER})
hab_pages.update(os.path.basename(f)[:-5]
for f in glob.glob(os.path.join(mech_root("HabitatMech"),"pages","habitats","*.html")))
if not hab_pages:
raise SystemExit("HabitatMech: no pages under pages/habitats; record links would silently be dropped")
for n in hab_pages:
parts=n.split("-")
for k in range(1,len(parts)): hab_by_suffix["-".join(parts[k:])].append(n)
def simple_slug(text):
return re.sub(r"-+","-",re.sub(r"[^a-z0-9]+","-",text.lower())).strip("-")
def slug_for(m, f, doc_id, doc_label=""):
Expand Down Expand Up @@ -131,53 +145,59 @@ def scan(m, keep=None, cap_cell=300):
break
print(m,"files",nfiles,"unlinked",nolink,"terms",len(terms),flush=True)
return dict(terms=terms,cells=cells,votes=votes)
idx={}
for m in ORDER:
if m=="ProteinTraitsMech": continue
idx[m]=scan(m)
union=set().union(*[set(idx[m]["terms"]) for m in idx])
idx["ProteinTraitsMech"]=scan("ProteinTraitsMech",keep=union)
# labels
labels={}
allterms=set().union(*[set(idx[m]["terms"]) for m in ORDER])
for t in allterms:
p=t.split(":")[0]
c=strict.get(t)
if c:
l,n=c.most_common(1)[0]
if n/sum(c.values())>=0.6 and l.count("'")%2==0: labels[t]=l; continue
for a in AUTH.get(p,[]):
c=idx[a]["votes"].get(t)
def main():
prepare()
idx={}
for m in ORDER:
if m=="ProteinTraitsMech": continue
idx[m]=scan(m)
union=set().union(*[set(idx[m]["terms"]) for m in idx])
idx["ProteinTraitsMech"]=scan("ProteinTraitsMech",keep=union)
# labels
labels={}
allterms=set().union(*[set(idx[m]["terms"]) for m in ORDER])
for t in allterms:
p=t.split(":")[0]
c=strict.get(t)
if c:
l,n=c.most_common(1)[0]
if n/sum(c.values())>=0.6 and l.count("'")%2==0: labels[t]=l; break
os.makedirs(f"{OUT}/edges",exist_ok=True); os.makedirs(f"{OUT}/cells",exist_ok=True)
summary={"edges":{},"cells":{}}
for a,b in itertools.combinations(ORDER,2):
shared=set(idx[a]["terms"])&set(idx[b]["terms"])
# An edge counts shared *concepts*, not shared bibliography. roots.CITATION
# says why: every Mech cites papers, so counting those "would say only
# that". build_data.py already keeps them out of the heatmap ordering and
# the cell indexes below already skip them; the edge weight was the one
# place that still counted them, because this line read
# `!="DOI" or True` and the `or True` made it a no-op (#62).
shared={t for t in shared if t.split(":")[0] not in CITATION}
if not shared: continue
rows=[]
for t in shared:
ra=idx[a]["terms"][t]; rb=idx[b]["terms"][t]
rows.append({"id":t,"l":labels.get(t,""),"na":len(ra),"nb":len(rb),"a":ra[:6],"b":rb[:6]})
rows.sort(key=lambda r:(-(min(r["na"],r["nb"])),-(r["na"]+r["nb"]),r["id"]))
byp=collections.Counter(t.split(":")[0] for t in shared)
doc={"a":a,"b":b,"base":{a:MECHS[a]["base"],b:MECHS[b]["base"]},"n":len(shared),"by":dict(byp.most_common()),"terms":rows}
fn=f"{a}--{b}.json"; json.dump(doc,open(f"{OUT}/edges/{fn}","w"),separators=(",",":"),ensure_ascii=False)
summary["edges"][f"{a}|{b}"]={"n":len(shared),"by":dict(byp.most_common()),"ex":[{"id":r["id"],"label":r["l"]} for r in rows if r["l"] and r["id"].split(":")[0] not in CITATION][:3]}
print("edge",a,b,len(shared),os.path.getsize(f"{OUT}/edges/{fn}")//1024,"KB")
for m in ORDER:
for p,(n,refs) in idx[m]["cells"].items():
if p in CITATION: continue
fn=f"{m}--{p}.json"
json.dump({"mech":m,"prefix":p,"base":MECHS[m]["base"],"total":n,"records":refs},open(f"{OUT}/cells/{fn}","w"),separators=(",",":"),ensure_ascii=False)
summary["cells"][f"{m}|{p}"]=n
json.dump(summary,open(DATA+"/subsets_summary.json","w"),indent=1)
print("labels resolved",len(labels),"of",len(allterms)); print("habitat pages unresolved (no link emitted):",len(hab_collisions), hab_collisions[:3]); print("done; total size KB:", sum(os.path.getsize(f) for f in glob.glob(f"{OUT}/**/*.json",recursive=True))//1024)
if n/sum(c.values())>=0.6 and l.count("'")%2==0: labels[t]=l; continue
for a in AUTH.get(p,[]):
c=idx[a]["votes"].get(t)
if c:
l,n=c.most_common(1)[0]
if n/sum(c.values())>=0.6 and l.count("'")%2==0: labels[t]=l; break
os.makedirs(f"{OUT}/edges",exist_ok=True); os.makedirs(f"{OUT}/cells",exist_ok=True)
summary={"edges":{},"cells":{}}
for a,b in itertools.combinations(ORDER,2):
shared=set(idx[a]["terms"])&set(idx[b]["terms"])
# An edge counts shared *concepts*, not shared bibliography. roots.CITATION
# says why: every Mech cites papers, so counting those "would say only
# that". build_data.py already keeps them out of the heatmap ordering and
# the cell indexes below already skip them; the edge weight was the one
# place that still counted them, because this line read
# `!="DOI" or True` and the `or True` made it a no-op (#62).
shared={t for t in shared if t.split(":")[0] not in CITATION}
if not shared: continue
rows=[]
for t in shared:
ra=idx[a]["terms"][t]; rb=idx[b]["terms"][t]
rows.append({"id":t,"l":labels.get(t,""),"na":len(ra),"nb":len(rb),"a":ra[:6],"b":rb[:6]})
rows.sort(key=lambda r:(-(min(r["na"],r["nb"])),-(r["na"]+r["nb"]),r["id"]))
byp=collections.Counter(t.split(":")[0] for t in shared)
doc={"a":a,"b":b,"base":{a:MECHS[a]["base"],b:MECHS[b]["base"]},"n":len(shared),"by":dict(byp.most_common()),"terms":rows}
fn=f"{a}--{b}.json"; json.dump(doc,open(f"{OUT}/edges/{fn}","w"),separators=(",",":"),ensure_ascii=False)
summary["edges"][f"{a}|{b}"]={"n":len(shared),"by":dict(byp.most_common()),"ex":[{"id":r["id"],"label":r["l"]} for r in rows if r["l"] and r["id"].split(":")[0] not in CITATION][:3]}
print("edge",a,b,len(shared),os.path.getsize(f"{OUT}/edges/{fn}")//1024,"KB")
for m in ORDER:
for p,(n,refs) in idx[m]["cells"].items():
if p in CITATION: continue
fn=f"{m}--{p}.json"
json.dump({"mech":m,"prefix":p,"base":MECHS[m]["base"],"total":n,"records":refs},open(f"{OUT}/cells/{fn}","w"),separators=(",",":"),ensure_ascii=False)
summary["cells"][f"{m}|{p}"]=n
json.dump(summary,open(DATA+"/subsets_summary.json","w"),indent=1)
print("labels resolved",len(labels),"of",len(allterms)); print("habitat pages unresolved (no link emitted):",len(hab_collisions), hab_collisions[:3]); print("done; total size KB:", sum(os.path.getsize(f) for f in glob.glob(f"{OUT}/**/*.json",recursive=True))//1024)


if __name__ == "__main__":
main()
68 changes: 9 additions & 59 deletions tests/test_fleet_page.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,5 @@
"""Regression coverage for fleet admission, capability drift and generated output."""
from copy import deepcopy
import ast
import contextlib
import json
import os
Expand Down Expand Up @@ -278,12 +277,6 @@ def census_sandbox():
PYTHONPATH=str(root / "scripts/fleet"),
MECHS_ROOT=str(root / "empty"))

# Methods that change a list in place. A read like VOC.index(v) must not be
# mistaken for one.
LIST_MUTATORS = {"append", "extend", "insert", "remove", "pop", "clear",
"sort", "reverse", "__setitem__", "__delitem__"}


class PrefixListTests(unittest.TestCase):
"""The pipeline carries three hand-maintained prefix lists that must agree.

Expand Down Expand Up @@ -313,8 +306,15 @@ def literal_prefix(p):
norm = constants["norm"]
self.census = {norm.get(literal_prefix(p), literal_prefix(p))
for p in constants["P"].split("|")}
self.voc = self.literal("build_data.py", "VOC")
self.pref = self.literal("build_subsets.py", "PREF")
# Imported, not parsed out of the source. Until #97 both modules did
# their work at import — build_subsets resolved every checkout and
# build_data read and rewrote fleet_data.json — so the lists had to be
# recovered from the source text with ast. That could not see a list
# rebuilt after its literal, which is what #99 and #101 were about.
# Reading the objects the pipeline actually uses retires the whole class.
import build_data, build_subsets
self.voc = build_data.VOC
self.pref = build_subsets.PREF

@staticmethod
def module_constants():
Expand All @@ -330,56 +330,6 @@ def module_constants():
f"(#95):\n{done.stderr}")
return json.loads(done.stdout)

def literal(self, script, name):
"""Read a list literal without importing — both scripts scan on import.

Parsed with ast rather than matched with a regex. A regex sees only the
text it matched, so `VOC = VOC + ["BOGUS"]` on the following line would
leave the assertion reading a literal the module no longer uses, and a
length check cannot notice. Requiring exactly one module-level binding
whose value is a plain literal rules both out.
"""
source = (ROOT / "scripts/fleet" / script).read_text()
tree = ast.parse(source)
# ast.Assign alone misses `VOC += [...]`, `VOC.append(...)`, `VOC[0] = ...`
# and a rebinding nested in an `if` — each leaves this reading a list the
# module no longer uses (#99). Walking the tree covers those four.
# It does NOT cover tuple-unpack rebinding, `del VOC[0]`, `VOC[0] += x`
# or a walrus; those are filed rather than chased (#101).
#
# Only mutating methods count. Flagging every attribute call would fail
# on `VOC.index(v)` — a read, and an idiomatic one in a file that
# already sorts VOC — with a message asserting a mutation that never
# happened, which is a worse trap than the hole it closes.
bindings, mutations = [], []
for node in ast.walk(tree):
if isinstance(node, ast.Assign):
for target in node.targets:
if getattr(target, "id", None) == name:
bindings.append(node)
elif (isinstance(target, ast.Subscript)
and getattr(target.value, "id", None) == name):
mutations.append("subscript assignment")
elif isinstance(node, (ast.AugAssign, ast.AnnAssign)):
if getattr(node.target, "id", None) == name:
bindings.append(node)
elif (isinstance(node, ast.Call)
and isinstance(node.func, ast.Attribute)
and getattr(node.func.value, "id", None) == name
and node.func.attr in LIST_MUTATORS):
mutations.append(f"{name}.{node.func.attr}()")
self.assertEqual(mutations, [], f"{name} is mutated in {script} after it is bound: "
f"{mutations}; this test reads a single literal")
self.assertEqual(len(bindings), 1,
f"{name} is bound or shadowed {len(bindings)} times in {script} "
f"(lines {[node.lineno for node in bindings]}); "
"this test reads a single literal binding")
# literal_eval refuses anything that is not a literal, so a computed
# value fails here rather than being silently half-read.
value = ast.literal_eval(bindings[0].value)
self.assertGreater(len(value), 10, f"{name} parsed as {value!r}, which looks wrong")
return value

def test_every_heatmap_column_is_a_vocabulary_the_census_counts(self):
# A column the census never counts renders as a stripe of zeros.
self.assertEqual([v for v in self.voc if v not in self.census], [])
Expand Down
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