Files
ptulsconv/ptulsconv/commands.py
2019-10-09 20:50:40 -07:00

138 lines
5.5 KiB
Python

import io
import json
import os.path
import sys
from xml.etree.ElementTree import TreeBuilder, tostring
import ptulsconv
# field_map maps tags in the text export to fields in FMPXMLRESULT
# - tuple field 0 is a list of tags, the first tag with contents will be used as source
# - tuple field 1 is the field in FMPXMLRESULT
# - tuple field 2 the constructor/type of the field
adr_field_map = ((['Title', 'PT.Session.Name'], 'Title', str),
(['Supv'], 'Supervisor', str),
(['Client'], 'Client', str),
(['Sc'], 'Scene', str),
(['Ver'], 'Version', str),
(['Reel'], 'Reel', str),
(['PT.Clip.Start'], 'Start', str),
(['PT.Clip.Finish'], 'Finish', str),
(['PT.Clip.Start_Seconds'], 'Start Seconds', float),
(['PT.Clip.Finish_Seconds'], 'Finish Seconds', float),
(['PT.Clip.Start_Frames'], 'Start Frames', int),
(['PT.Clip.Finish_Frames'], 'Finish Frames', int),
(['P'], 'Priority', int),
(['QN'], 'Cue Number', str),
(['Char', 'PT.Track.Name'], 'Character Name', str),
(['Actor'], 'Actor Name', str),
(['CN'], 'Character Number', str),
(['R'], 'Reason', str),
(['Rq'], 'Requested by', str),
(['Spot'], 'Spot', str),
(['PT.Clip.Name', 'Line'], 'Line', str),
(['Shot'], 'Shot', str),
(['Note'], 'Note', str),
(['Mins'], 'Time Budget Mins', float),
(['EFF'], 'Effort', str),
(['TV'], 'TV', str),
(['TBW'], 'To Be Written', str),
(['OMIT'], 'Omit', str),
(['ADLIB'], 'Adlib', str),
(['OPT'], 'Optional', str))
def fmp_dump(data, input_file_name, output):
doc = TreeBuilder(element_factory=None)
doc.start('FMPXMLRESULT', {'xmlns': 'http://www.filemaker.com/fmpxmlresult'})
doc.start('ERRORCODE')
doc.data('0')
doc.end('ERRORCODE')
doc.start('PRODUCT', {'NAME': ptulsconv.__name__, 'VERSION': ptulsconv.__version__})
doc.end('PRODUCT')
doc.start('DATABASE', {'DATEFORMAT': 'MM/dd/yy', 'LAYOUT': 'summary', 'TIMEFORMAT': 'hh:mm:ss',
'RECORDS': str(len(data['events'])), 'NAME': os.path.basename(input_file_name)})
doc.end('DATABASE')
doc.start('METADATA')
for field in adr_field_map:
tp = field[2]
ft = 'TEXT'
if tp is int or tp is float:
ft = 'NUMBER'
doc.start('FIELD', {'EMPTYOK': 'YES', 'MAXREPEAT': '1', 'NAME': field[1], 'TYPE': ft})
doc.end('FIELD')
doc.end('METADATA')
doc.start('RESULTSET', {'FOUND': str(len(data['events']))})
for event in data['events']:
doc.start('ROW')
for field in adr_field_map:
doc.start('COL')
doc.start('DATA')
for key_attempt in field[0]:
if key_attempt in event.keys():
doc.data(str(event[key_attempt]))
break
doc.end('DATA')
doc.end('COL')
doc.end('ROW')
doc.end('RESULTSET')
doc.end('FMPXMLRESULT')
docelem = doc.close()
xmlstr = tostring(docelem, encoding='unicode', method='xml')
output.write(xmlstr)
def dump_field_map(field_map_name, output=sys.stdout):
output.write("# Map of Tag fields to XML output columns\n")
output.write("# (in order of precedence)\n")
output.write("# \n")
field_map = []
if field_map_name == 'ADR':
field_map = adr_field_map
output.write("# ADR Table Fields\n")
output.write("# \n")
output.write("# Tag Name | FMPXMLRESULT Column | Type | Column \n")
output.write("# -------------------------+----------------------+---------+--------\n")
for n, field in enumerate(field_map):
for tag in field[0]:
output.write("# %-24s-> %-20s | %-8s| %-7i\n" % (tag[:24], field[1][:20], field[2].__name__, n+1 ))
def convert(input_file, output_format='fmpxml', start=None, end=None, progress=False, include_muted=False,
output=sys.stdout):
with open(input_file, 'r') as file:
ast = ptulsconv.protools_text_export_grammar.parse(file.read())
dict_parser = ptulsconv.DictionaryParserVisitor()
parsed = dict_parser.visit(ast)
tcxform = ptulsconv.transformations.TimecodeInterpreter()
tagxform = ptulsconv.transformations.TagInterpreter(show_progress=progress, ignore_muted=(not include_muted))
parsed = tagxform.transform(tcxform.transform(parsed))
if start is not None and end is not None:
start_fs = tcxform.convert_time(start,
frame_rate=parsed['header']['timecode_format'],
drop_frame=parsed['header']['timecode_drop_frame'])['frame_count']
end_fs = tcxform.convert_time(end,
frame_rate=parsed['header']['timecode_format'],
drop_frame=parsed['header']['timecode_drop_frame'])['frame_count']
subclipxform = ptulsconv.transformations.SubclipOfSequence(start=start_fs, end=end_fs)
parsed = subclipxform.transform(parsed)
if output_format == 'json':
json.dump(parsed, output)
elif output_format == 'fmpxml':
fmp_dump(parsed, input_file, output)