def main():
p = utils.args_parser(desc="generate pubyear svg and pubyear pages")
p.add_argument('-p',
'--pubonly',
action="store_true",
default=False,
help='only output root map')
args = utils.get_args(parser=p)
outf = utils.open_output()
pubyears = defaultdict(list)
pubyears_idx = defaultdict(list)
# years_idx = []
for r in metadb.read_rows('pub/stats'):
y = r.year or '0000'
pubyear = r.pubid + str(y)
pubyears[pubyear].append(r)
if y not in pubyears_idx[r.pubid]:
pubyears_idx[r.pubid].append(y)
# if r.year not in years_idx:
# years_idx.append(r.year)
# Making collapsed decades depends on args
allyears = []
for i in range(DECADE_SKIP_START // 10, DECADE_SKIP_END // 10 + 1):
allyears.append("%s0s" % i)
allyears.extend(
[str(y) for y in range(DECADE_SKIP_END + 10,
date.today().year + 1)])
html_out = []
html_out.append(
'<p>Grouped by publication-year and broken out by day-of-week (Monday at top, Sunday at bottom).</p>'
)
html_out.append(legend) # See definition above
html_out.append('<table id="pubyearmap" cellspacing="0" cellpadding="0">')
# Table header with years \ decades
year_header = gen_year_header(allyears)
html_out.extend(year_header)
pubs_total = {}
for pubid in pubyears_idx:
pubs_total[pubid] = len(metadb.xd_puzzles(pubid))
# sort rows by number of puzzles
sorted_pubs = sorted(pubs_total.keys(),
key=lambda pubid: pubs_total[pubid],
reverse=True)
for pub in args.inputs or sorted_pubs:
if pubs_total[pub] < 20:
continue
# Process each pub in index
pubobj = metadb.xd_publications().get(pub)
if pubobj:
pubname = pubobj.PublicationName or pubobj.PublisherName
else:
pubname = pub
html_out.append('<tr><td class="header">{}</td>'.format(
html.mkhref(pubname, 'pub/' + pub)))
for year in sorted(allyears):
html_out.append('<td class="year_widget">')
py_td = td_for_pubyear(pubyears, pub, year)
if py_td:
html_out.append(py_td)
if not args.pubonly:
outf.write_html(
'pub/{pub}{year}/index.html'.format(**locals()),
pubyear_html(pub, year),
"{pubname}, {year}".format(**locals()))
else:
# otherwise
width = svg_w if 's' not in year else svg_w * decade_scale
html_out.append(
pys.format(w=width,
h=svg_h,
title='',
classes='notexists',
body=''))
html_out.append('</td>')
# Add totals + publishers
html_out.append('<td class="header">{}</td>'.format(pubs_total[pub]))
html_out.append('<td class="header">{}</td>'.format(
html.mkhref(pubname, 'pub/' + pub)))
html_out.append('</tr>')
html_out.extend(year_header)
html_out.append('</table>')
total_xd = len(metadb.xd_puzzles())
outf.write_html('index.html', "".join(html_out),
"Comparison of %s published crossword grids" % total_xd)
def main():
p = utils.args_parser(desc="annotate puzzle clues with earliest date used in the corpus")
p.add_argument("-a", "--all", default=False, help="analyze all puzzles, even those already in similar.tsv")
p.add_argument("-l", "--limit", default=100, help="limit amount of puzzles to be analyzed [default=100]")
args = get_args(parser=p)
outf = open_output()
num_processed = 0
prev_similar = metadb.read_rows("gxd/similar")
for fn, contents in find_files(*args.inputs, ext=".xd"):
progress(fn)
mainxd = xdfile(contents.decode("utf-8"), fn)
if mainxd.xdid() in prev_similar:
continue # skip reprocessing .xd that are already in similar.tsv
""" find similar grids (pct, xd) for the mainxd in the corpus.
Takes about 1 second per xd. sorted by pct.
"""
similar_grids = sorted(find_similar_to(mainxd, corpus(), min_pct=0.20), key=lambda x: x[0], reverse=True)
num_processed += 1
if num_processed > int(args.limit):
break
if similar_grids:
info("similar: " + " ".join(("%s=%s" % (xd2.xdid(), pct)) for pct, xd1, xd2 in similar_grids))
mainpubid = mainxd.publication_id()
maindate = mainxd.date()
# go over each clue/answer, find all other uses, other answers, other possibilities.
# these are added directly to similar.tsv
nstaleclues = 0
nstaleanswers = 0
ntotalclues = 0
for pos, mainclue, mainanswer in mainxd.iterclues():
progress(mainanswer)
poss_answers = []
pub_uses = {} # [pubid] -> set(ClueAnswer)
mainca = ClueAnswer(mainpubid, maindate, mainanswer, mainclue)
# find other uses of this clue, and other answers, in a single pass
for clueans in find_clue_variants(mainclue):
if clueans.answer != mainanswer:
poss_answers.append(clueans)
if clueans.answer == mainanswer:
if clueans.pubid in pub_uses:
otherpubs = pub_uses[clueans.pubid]
else:
otherpubs = set() # set of ClueAnswer
pub_uses[clueans.pubid] = otherpubs
otherpubs.add(clueans)
# bclues is all boiled clues for this particular answer: { [bc] -> #uses }
bclues = load_answers().get(mainanswer, [])
stale_answer = False
if bclues:
uses = []
for bc, nuses in bclues.items():
# then find all clues besides this one
clue_usages = [
ca for ca in load_clues().get(bc, []) if ca.answer == mainanswer and ca.date < maindate
]
if clue_usages:
stale_answer = True
if nuses > 1:
# only use one (the most recent) ClueAnswer per boiled clue
# but use the clue only (no xdid)
ca = sorted(clue_usages, key=lambda ca: ca.date or "z")[-1].clue
else:
ca = sorted(clue_usages, key=lambda ca: ca.date or "z")[-1]
uses.append((ca, nuses))
# summary row to similar.tsv
metadb.append_row(
"gxd/similar",
[
mainxd.xdid(), # xdid
int(100 * sum(pct / 100.0 for pct, xd1, xd2 in similar_grids)), # similar_grid_pct
nstaleclues, # reused_clues
nstaleanswers, # reused_answers
ntotalclues, # total_clues
" ".join(("%s=%s" % (xd2.xdid(), pct)) for pct, xd1, xd2 in similar_grids), # matches
],
)
def main():
p = utils.args_parser(desc="generate pubyear svg and pubyear pages")
p.add_argument('-p', '--pubonly', action="store_true", default=False, help='only output root map')
args = utils.get_args(parser=p)
outf = utils.open_output()
pubyears = defaultdict(list)
pubyears_idx = defaultdict(list)
# years_idx = []
for r in metadb.read_rows('pub/stats'):
y = r.year or '0000'
pubyear = r.pubid + str(y)
pubyears[pubyear].append(r)
if y not in pubyears_idx[r.pubid]:
pubyears_idx[r.pubid].append(y)
# if r.year not in years_idx:
# years_idx.append(r.year)
# Making collapsed decades depends on args
allyears = []
for i in range(DECADE_SKIP_START//10, DECADE_SKIP_END//10 + 1):
allyears.append("%s0s" % i)
allyears.extend([ str(y) for y in range(DECADE_SKIP_END + 10, date.today().year + 1) ])
html_out = []
html_out.append('<p>Grouped by publication-year and broken out by day-of-week (Monday at top, Sunday at bottom).</p>')
html_out.append(legend) # See definition above
html_out.append('<table id="pubyearmap" cellspacing="0" cellpadding="0">')
# Table header with years \ decades
year_header = gen_year_header(allyears)
html_out.extend(year_header)
pubs_total = {}
for pubid in pubyears_idx:
pubs_total[pubid] = len(metadb.xd_puzzles(pubid))
# sort rows by number of puzzles
sorted_pubs = sorted(pubs_total.keys(), key=lambda pubid: pubs_total[pubid], reverse=True)
for pub in args.inputs or sorted_pubs:
if pubs_total[pub] < 20:
continue
# Process each pub in index
pubobj = metadb.xd_publications().get(pub)
if pubobj:
pubname = pubobj.PublicationName or pubobj.PublisherName
else:
pubname = pub
html_out.append('<tr><td class="header">{}</td>'.format(html.mkhref(pubname, pub)))
for year in sorted(allyears):
html_out.append('<td class="year_widget">')
py_td = td_for_pubyear(pubyears, pub, year)
if py_td:
html_out.append(py_td)
if not args.pubonly:
outf.write_html('pub/{pub}{year}/index.html'.format(**locals()), pubyear_html(pub, year),
"{pubname}, {year}".format(**locals()))
else:
# otherwise
width = svg_w if 's' not in year else svg_w*decade_scale
html_out.append(pys.format(w=width, h=svg_h, title='', classes='notexists', body=''))
html_out.append('</td>')
# Add totals + publishers
html_out.append('<td class="header">{}</td>'.format(pubs_total[pub]))
html_out.append('<td class="header">{}</td>'.format(html.mkhref(pubname, pub)))
html_out.append('</tr>')
html_out.extend(year_header)
html_out.append('</table>')
total_xd = len(metadb.xd_puzzles())
outf.write_html('index.html', "".join(html_out), "Comparison of %s published crossword grids" % total_xd)
def main():
p = utils.args_parser(
desc="annotate puzzle clues with earliest date used in the corpus")
p.add_argument(
'-a',
'--all',
default=False,
help='analyze all puzzles, even those already in similar.tsv')
p.add_argument('-l',
'--limit',
default=100,
help='limit amount of puzzles to be analyzed [default=100]')
args = get_args(parser=p)
outf = open_output()
num_processed = 0
prev_similar = metadb.read_rows('gxd/similar')
for fn, contents in find_files(*args.inputs, ext=".xd"):
progress(fn)
mainxd = xdfile(contents.decode('utf-8'), fn)
if mainxd.xdid() in prev_similar:
continue # skip reprocessing .xd that are already in similar.tsv
""" find similar grids (pct, xd) for the mainxd in the corpus.
Takes about 1 second per xd. sorted by pct.
"""
similar_grids = sorted(find_similar_to(mainxd, corpus(), min_pct=0.20),
key=lambda x: x[0],
reverse=True)
num_processed += 1
if num_processed > int(args.limit):
break
if similar_grids:
info("similar: " + " ".join(("%s=%s" % (xd2.xdid(), pct))
for pct, xd1, xd2 in similar_grids))
mainpubid = mainxd.publication_id()
maindate = mainxd.date()
# go over each clue/answer, find all other uses, other answers, other possibilities.
# these are added directly to similar.tsv
nstaleclues = 0
nstaleanswers = 0
ntotalclues = 0
for pos, mainclue, mainanswer in mainxd.iterclues():
progress(mainanswer)
poss_answers = []
pub_uses = {} # [pubid] -> set(ClueAnswer)
mainca = ClueAnswer(mainpubid, maindate, mainanswer, mainclue)
# find other uses of this clue, and other answers, in a single pass
for clueans in find_clue_variants(mainclue):
if clueans.answer != mainanswer:
poss_answers.append(clueans)
if clueans.answer == mainanswer:
if clueans.pubid in pub_uses:
otherpubs = pub_uses[clueans.pubid]
else:
otherpubs = set() # set of ClueAnswer
pub_uses[clueans.pubid] = otherpubs
otherpubs.add(clueans)
# bclues is all boiled clues for this particular answer: { [bc] -> #uses }
bclues = load_answers().get(mainanswer, [])
stale_answer = False
if bclues:
uses = []
for bc, nuses in bclues.items():
# then find all clues besides this one
clue_usages = [
ca for ca in load_clues().get(bc, [])
if ca.answer == mainanswer and ca.date < maindate
]
if clue_usages:
stale_answer = True
if nuses > 1:
# only use one (the most recent) ClueAnswer per boiled clue
# but use the clue only (no xdid)
ca = sorted(clue_usages,
key=lambda ca: ca.date or "z")[-1].clue
else:
ca = sorted(clue_usages,
key=lambda ca: ca.date or "z")[-1]
uses.append((ca, nuses))
# summary row to similar.tsv
metadb.append_row(
'gxd/similar',
[
mainxd.xdid(), # xdid
int(100 * sum(
pct / 100.0
for pct, xd1, xd2 in similar_grids)), # similar_grid_pct
nstaleclues, # reused_clues
nstaleanswers, # reused_answers
ntotalclues, # total_clues
" ".join(("%s=%s" % (xd2.xdid(), pct))
for pct, xd1, xd2 in similar_grids) # matches
])