def html_other_clues(mainanswer, mainclue, mainxd):
# bclues is all boiled clues for this particular answer: { [bc] -> #uses }
bclues = load_answers().get(mainanswer, [])
if bclues:
uses = []
for bc, nuses in bclues.items():
# then find all clues besides this one
clue_usages = []
for ca in load_clues().get(bc, []):
if ca.answer == mainanswer and ca.date < mainxd.date():
clue_usages.append(ca)
if clue_usages:
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))
if uses:
return html_select_options_freq(
[(ca.clue, nuses) for ca, nuses in uses],
force_top="[%s alternates]" % len(uses),
add_total=False)
return ''
def main():
args = utils.get_args('generates .html diffs with deep clues for all puzzles in similar.tsv')
outf = utils.open_output()
similars = utils.parse_tsv('gxd/similar.tsv', 'Similar')
xdids_todo = [ parse_pathname(fn).base for fn in args.inputs ]
if not xdids_todo:
xdids_todo = [ xdid for xdid, matches in metadb.get_similar_grids().items() if matches ]
for mainxdid in xdids_todo:
progress(mainxdid)
mainxd = xdfile.get_xd(mainxdid)
if not mainxd:
continue
matches = metadb.get_similar_grids().get(mainxdid, [])
xddates = {}
xddates[mainxdid] = mainxd.date() # Dict to store XD dates for further sort
html_grids = {}
html_clues = {}
# these are added directly to similar.tsv
nstaleclues = 0
nstaleanswers = 0
ntotalclues = 0
poss_answers = [] # TODO:
pub_uses = {} # [pubid] -> set(ClueAnswer)
dcl_html = ''
deepcl_html = [] # keep deep clues to parse later - per row
for pos, mainclue, mainanswer in mainxd.iterclues():
deepcl_html = [] # Temporary to be replaced late
mainca = ClueAnswer(mainxdid, mainxd.date(), mainanswer, mainclue)
# 'grid position' column
deepcl_html.append('<td class="pos">%s.</td>' % pos)
# 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)
# add 'other uses' to clues_html
stale = False
deepcl_html.append('<td class="other-uses">')
if len(pub_uses) > 0:
sortable_uses = []
for pubid, uses in pub_uses.items():
# show the earliest unboiled clue
for u in sorted(uses, key=lambda x: x.date or ""):
# only show those published earlier
if u.date and u.date <= mainxd.date():
if pubid == mainxdid and u.date == mainxd.date():
pass
else:
stale = True
sortable_uses.append((u.date, u, 1))
deepcl_html.append(html_select([ (clue, nuses) for dt, clue, nuses in sorted(sortable_uses, key=lambda x: x[0], reverse=True) ], top_option=mainclue))
else:
deepcl_html.append('<div class="original">%s</div>' % esc(mainclue))
deepcl_html.append('</td>')
# add 'other answers' to clues_html
deepcl_html.append('<td class="other-answers">')
deepcl_html.append(html_select_options(poss_answers, strmaker=lambda ca: ca.answer, force_top=mainca))
deepcl_html.append('</td>')
# add 'other clues' to clues_html
deepcl_html.append('<td class="other-clues">')
# 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 < mainxd.date() ]
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))
if uses:
deepcl_html.append(html_select(uses))
deepcl_html.append('</td>') # end 'other-clues'
if stale_answer:
nstaleanswers += 1
if stale:
nstaleclues += 1
ntotalclues += 1
# Quick and dirty - to be replaced
dcl_html += '<tr>' + ' '.join(deepcl_html) + '</tr>'
# Store in list to make further formatting as html table easier
mainxd = xdfile.get_xd(mainxdid)
if mainxd:
html_grids[mainxdid] = grid_diff_html(mainxd)
# Add for main XD
diff_l = []
for pos, mainclue, mainanswer in mainxd.iterclues():
diff_h = mktag('div','fullgrid main') + '%s. ' %pos
diff_h += mainclue
diff_h += mktag('span', tagclass='main', inner=' ~ ' + mainanswer.upper())
diff_l.append(diff_h)
html_clues[mainxdid] = diff_l
# Process for all matches
for xdid in matches:
xd = xdfile.get_xd(xdid)
if not xd:
continue
xddates[xdid] = xd.date()
# output each grid
html_grids[xdid] = grid_diff_html(xd, compare_with=mainxd)
diff_l = []
# output comparison of each set of clues
for pos, clue, answer in xd.iterclues():
diff_h = mktag('div','fullgrid') + '%s. ' %pos
# Sometimes can return clue == None
sm = difflib.SequenceMatcher(lambda x: x == ' ', mainxd.get_clue(pos) or '', clue)
if sm.ratio() < 0.50:
diff_h += clue
else:
# Compare based on op codes
for opcode in sm.get_opcodes():
c, a1, a2, b1, b2 = opcode
if c == 'equal':
diff_h += '<span class="match">%s</span>' % clue[b1:b2]
else:
diff_h += '<span class="diff">%s</span>' % clue[b1:b2]
diff_h += mktag('span', tagclass=(answer == mainxd.get_answer(pos)) and 'match' or 'diff', inner=' ~ ' + answer.upper())
diff_h += mktag('/div')
diff_l.append(diff_h)
html_clues[xdid] = diff_l
# Wrap into table
diff_h = mktag('table') + mktag('tr')
# Sort by date
sortedkeys = sorted(xddates.items(), key=operator.itemgetter(1))
for w, dt in sortedkeys:
# Wrap into table
diff_h += mktag('td') + html_grids[w] + mktag('/td')
diff_h += mktag('/tr')
for i, clue in enumerate(html_clues[sortedkeys[0][0]]):
diff_h += mktag('tr')
for w, dt in sortedkeys:
if i < len(html_clues[w]):
diff_h += mktag('td') + html_clues[w][i] + mktag('/td')
diff_h += mktag('/tr')
# Process deepclues
diff_h += mktag('table') + dcl_html + mktag('/table')
diff_h += mktag('/table')
outf.write_html('pub/deep/%s/index.html' % mainxdid, diff_h,
title='Deep clue comparison for ' + mainxdid)
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="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
])
