def setUpClass(TestQueryClass):
""" Init unit test data """
# Create Qt application
TestQueryClass.app = OpenShotApp(sys.argv, mode="unittest")
TestQueryClass.clip_ids = []
TestQueryClass.file_ids = []
TestQueryClass.transition_ids = []
# Import additional classes that need the app defined first
from classes.query import Clip, File, Transition
# Insert some clips into the project data
for num in range(5):
# Create clip
c = openshot.Clip(os.path.join(info.IMAGES_PATH, "AboutLogo.png"))
# Parse JSON
clip_data = json.loads(c.Json())
# Insert into project data
query_clip = Clip()
query_clip.data = clip_data
query_clip.save()
# Keep track of the ids
TestQueryClass.clip_ids.append(query_clip.id)
# Insert some files into the project data
for num in range(5):
# Create file
r = openshot.DummyReader(openshot.Fraction(24, 1), 640, 480, 44100, 2, 30.0)
# Parse JSON
file_data = json.loads(r.Json())
# Insert into project data
query_file = File()
query_file.data = file_data
query_file.data["path"] = os.path.join(info.IMAGES_PATH, "AboutLogo.png")
query_file.data["media_type"] = "image"
query_file.save()
# Keep track of the ids
TestQueryClass.file_ids.append(query_file.id)
# Insert some transitions into the project data
for num in range(5):
# Create mask object
transition_object = openshot.Mask()
transitions_data = json.loads(transition_object.Json())
# Insert into project data
query_transition = Transition()
query_transition.data = transitions_data
query_transition.save()
# Keep track of the ids
TestQueryClass.transition_ids.append(query_transition.id)
def accept(self):
""" Ok button clicked """
log.info('accept')
# Get settings from form
start_position = self.txtStartTime.value()
track_num = self.cmbTrack.currentData()
fade_value = self.cmbFade.currentData()
fade_length = self.txtFadeLength.value()
transition_path = self.cmbTransition.currentData()
transition_length = self.txtTransitionLength.value()
image_length = self.txtImageLength.value()
zoom_value = self.cmbZoom.currentData()
# Init position
position = start_position
random_transition = False
if transition_path == "random":
random_transition = True
# Get frames per second
fps = get_app().project.get(["fps"])
fps_float = float(fps["num"]) / float(fps["den"])
# Loop through each file (in the current order)
for file in self.treeFiles.timeline_model.files:
# Create a clip
clip = Clip()
clip.data = {}
if (file.data["media_type"] == "video"
or file.data["media_type"] == "image"):
# Determine thumb path
thumb_path = os.path.join(info.THUMBNAIL_PATH,
"%s.png" % file.data["id"])
else:
# Audio file
thumb_path = os.path.join(info.PATH, "images",
"AudioThumbnail.png")
# Get file name
path, filename = os.path.split(file.data["path"])
# Convert path to the correct relative path (based on this folder)
file_path = file.absolute_path()
# Create clip object for this file
c = openshot.Clip(file_path)
# Append missing attributes to Clip JSON
new_clip = json.loads(c.Json())
new_clip["position"] = position
new_clip["layer"] = track_num
new_clip["file_id"] = file.id
new_clip["title"] = filename
new_clip["image"] = thumb_path
# Skip any clips that are missing a 'reader' attribute
# TODO: Determine why this even happens, as it shouldn't be possible
if not new_clip.get("reader"):
continue # Skip to next file
# Overwrite frame rate (incase the user changed it in the File Properties)
file_properties_fps = float(file.data["fps"]["num"]) / float(
file.data["fps"]["den"])
file_fps = float(new_clip["reader"]["fps"]["num"]) / float(
new_clip["reader"]["fps"]["den"])
fps_diff = file_fps / file_properties_fps
new_clip["reader"]["fps"]["num"] = file.data["fps"]["num"]
new_clip["reader"]["fps"]["den"] = file.data["fps"]["den"]
# Scale duration / length / and end properties
new_clip["reader"]["duration"] *= fps_diff
new_clip["end"] *= fps_diff
new_clip["duration"] *= fps_diff
# Check for optional start and end attributes
start_time = 0
end_time = new_clip["reader"]["duration"]
if 'start' in file.data.keys():
start_time = file.data['start']
new_clip["start"] = start_time
if 'end' in file.data.keys():
end_time = file.data['end']
new_clip["end"] = end_time
# Adjust clip duration, start, and end
new_clip["duration"] = new_clip["reader"]["duration"]
if file.data["media_type"] == "image":
end_time = image_length
new_clip["end"] = end_time
# Adjust Fade of Clips (if no transition is chosen)
if not transition_path:
if fade_value != None:
# Overlap this clip with the previous one (if any)
position = max(start_position,
new_clip["position"] - fade_length)
new_clip["position"] = position
if fade_value == 'Fade In' or fade_value == 'Fade In & Out':
start = openshot.Point(
round(start_time * fps_float) + 1, 0.0,
openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
min(
round((start_time + fade_length) * fps_float) + 1,
round(end_time * fps_float) + 1), 1.0,
openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip['alpha']["Points"].append(start_object)
new_clip['alpha']["Points"].append(end_object)
if fade_value == 'Fade Out' or fade_value == 'Fade In & Out':
start = openshot.Point(
max(
round((end_time * fps_float) + 1) -
(round(fade_length * fps_float) + 1),
round(start_time * fps_float) + 1), 1.0,
openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round(end_time * fps_float) + 1, 0.0, openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip['alpha']["Points"].append(start_object)
new_clip['alpha']["Points"].append(end_object)
# Adjust zoom amount
if zoom_value != None:
# Location animation
if zoom_value == "Random":
animate_start_x = uniform(-0.5, 0.5)
animate_end_x = uniform(-0.15, 0.15)
animate_start_y = uniform(-0.5, 0.5)
animate_end_y = uniform(-0.15, 0.15)
# Scale animation
start_scale = uniform(0.5, 1.5)
end_scale = uniform(0.85, 1.15)
elif zoom_value == "Zoom In":
animate_start_x = 0.0
animate_end_x = 0.0
animate_start_y = 0.0
animate_end_y = 0.0
# Scale animation
start_scale = 1.0
end_scale = 1.25
elif zoom_value == "Zoom Out":
animate_start_x = 0.0
animate_end_x = 0.0
animate_start_y = 0.0
animate_end_y = 0.0
# Scale animation
start_scale = 1.25
end_scale = 1.0
# Add keyframes
start = openshot.Point(
round(start_time * fps_float) + 1, start_scale,
openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round(end_time * fps_float) + 1, end_scale,
openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip["gravity"] = openshot.GRAVITY_CENTER
new_clip["scale_x"]["Points"].append(start_object)
new_clip["scale_x"]["Points"].append(end_object)
new_clip["scale_y"]["Points"].append(start_object)
new_clip["scale_y"]["Points"].append(end_object)
# Add keyframes
start_x = openshot.Point(
round(start_time * fps_float) + 1, animate_start_x,
openshot.BEZIER)
start_x_object = json.loads(start_x.Json())
end_x = openshot.Point(
round(end_time * fps_float) + 1, animate_end_x,
openshot.BEZIER)
end_x_object = json.loads(end_x.Json())
start_y = openshot.Point(
round(start_time * fps_float) + 1, animate_start_y,
openshot.BEZIER)
start_y_object = json.loads(start_y.Json())
end_y = openshot.Point(
round(end_time * fps_float) + 1, animate_end_y,
openshot.BEZIER)
end_y_object = json.loads(end_y.Json())
new_clip["gravity"] = openshot.GRAVITY_CENTER
new_clip["location_x"]["Points"].append(start_x_object)
new_clip["location_x"]["Points"].append(end_x_object)
new_clip["location_y"]["Points"].append(start_y_object)
new_clip["location_y"]["Points"].append(end_y_object)
if transition_path:
# Add transition for this clip (if any)
# Open up QtImageReader for transition Image
if random_transition:
random_index = randint(0, len(self.transitions))
transition_path = self.transitions[random_index]
# Get reader for transition
transition_reader = openshot.QtImageReader(transition_path)
brightness = openshot.Keyframe()
brightness.AddPoint(1, 1.0, openshot.BEZIER)
brightness.AddPoint(
round(
min(transition_length, end_time - start_time) *
fps_float) + 1, -1.0, openshot.BEZIER)
contrast = openshot.Keyframe(3.0)
# Create transition dictionary
transitions_data = {
"layer": track_num,
"title": "Transition",
"type": "Mask",
"start": 0,
"end": min(transition_length, end_time - start_time),
"brightness": json.loads(brightness.Json()),
"contrast": json.loads(contrast.Json()),
"reader": json.loads(transition_reader.Json()),
"replace_image": False
}
# Overlap this clip with the previous one (if any)
position = max(start_position, position - transition_length)
transitions_data["position"] = position
new_clip["position"] = position
# Create transition
tran = Transition()
tran.data = transitions_data
tran.save()
# Save Clip
clip.data = new_clip
clip.save()
# Increment position by length of clip
position += (end_time - start_time)
# Accept dialog
super(AddToTimeline, self).accept()
def read_legacy_project_file(self, file_path):
"""Attempt to read a legacy version 1.x openshot project file"""
import sys, pickle
from classes.query import File, Track, Clip, Transition
from classes.app import get_app
import openshot
try:
import json
except ImportError:
import simplejson as json
# Get translation method
_ = get_app()._tr
# Append version info
v = openshot.GetVersion()
project_data = {}
project_data["version"] = {
"openshot-qt": info.VERSION,
"libopenshot": v.ToString()
}
# Get FPS from project
from classes.app import get_app
fps = get_app().project.get(["fps"])
fps_float = float(fps["num"]) / float(fps["den"])
# Import legacy openshot classes (from version 1.X)
from classes.legacy.openshot import classes as legacy_classes
from classes.legacy.openshot.classes import project as legacy_project
from classes.legacy.openshot.classes import sequences as legacy_sequences
from classes.legacy.openshot.classes import track as legacy_track
from classes.legacy.openshot.classes import clip as legacy_clip
from classes.legacy.openshot.classes import keyframe as legacy_keyframe
from classes.legacy.openshot.classes import files as legacy_files
from classes.legacy.openshot.classes import transition as legacy_transition
from classes.legacy.openshot.classes import effect as legacy_effect
from classes.legacy.openshot.classes import marker as legacy_marker
sys.modules['openshot.classes'] = legacy_classes
sys.modules['classes.project'] = legacy_project
sys.modules['classes.sequences'] = legacy_sequences
sys.modules['classes.track'] = legacy_track
sys.modules['classes.clip'] = legacy_clip
sys.modules['classes.keyframe'] = legacy_keyframe
sys.modules['classes.files'] = legacy_files
sys.modules['classes.transition'] = legacy_transition
sys.modules['classes.effect'] = legacy_effect
sys.modules['classes.marker'] = legacy_marker
# Keep track of files that failed to load
failed_files = []
with open(file_path.encode('UTF-8'), 'rb') as f:
try:
# Unpickle legacy openshot project file
v1_data = pickle.load(f, fix_imports=True, encoding="UTF-8")
file_lookup = {}
# Loop through files
for item in v1_data.project_folder.items:
# Is this item a File (i.e. ignore folders)
if isinstance(item, legacy_files.OpenShotFile):
# Create file
try:
clip = openshot.Clip(item.name)
reader = clip.Reader()
file_data = json.loads(reader.Json())
# Determine media type
if file_data["has_video"] and not self.is_image(
file_data):
file_data["media_type"] = "video"
elif file_data["has_video"] and self.is_image(
file_data):
file_data["media_type"] = "image"
elif file_data["has_audio"] and not file_data[
"has_video"]:
file_data["media_type"] = "audio"
# Save new file to the project data
file = File()
file.data = file_data
file.save()
# Keep track of new ids and old ids
file_lookup[item.unique_id] = file
except:
# Handle exception quietly
msg = (
"%s is not a valid video, audio, or image file."
% item.name)
log.error(msg)
failed_files.append(item.name)
# Delete all tracks
track_list = copy.deepcopy(Track.filter())
for track in track_list:
track.delete()
# Create new tracks
track_counter = 0
for legacy_t in reversed(v1_data.sequences[0].tracks):
t = Track()
t.data = {
"number": track_counter,
"y": 0,
"label": legacy_t.name
}
t.save()
track_counter += 1
# Loop through clips
track_counter = 0
for sequence in v1_data.sequences:
for track in reversed(sequence.tracks):
for clip in track.clips:
# Get associated file for this clip
if clip.file_object.unique_id in file_lookup.keys(
):
file = file_lookup[clip.file_object.unique_id]
else:
# Skip missing file
log.info(
"Skipping importing missing file: %s" %
clip.file_object.unique_id)
continue
# Create clip
if (file.data["media_type"] == "video"
or file.data["media_type"] == "image"):
# Determine thumb path
thumb_path = os.path.join(
info.THUMBNAIL_PATH,
"%s.png" % file.data["id"])
else:
# Audio file
thumb_path = os.path.join(
info.PATH, "images", "AudioThumbnail.png")
# Get file name
path, filename = os.path.split(file.data["path"])
# Convert path to the correct relative path (based on this folder)
file_path = file.absolute_path()
# Create clip object for this file
c = openshot.Clip(file_path)
# Append missing attributes to Clip JSON
new_clip = json.loads(c.Json())
new_clip["file_id"] = file.id
new_clip["title"] = filename
new_clip["image"] = thumb_path
# Check for optional start and end attributes
new_clip["start"] = clip.start_time
new_clip["end"] = clip.end_time
new_clip["position"] = clip.position_on_track
new_clip["layer"] = track_counter
# Clear alpha (if needed)
if clip.video_fade_in or clip.video_fade_out:
new_clip["alpha"]["Points"] = []
# Video Fade IN
if clip.video_fade_in:
# Add keyframes
start = openshot.Point(
round(clip.start_time * fps_float) + 1,
0.0, openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round((clip.start_time +
clip.video_fade_in_amount) *
fps_float) + 1, 1.0, openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip["alpha"]["Points"].append(
start_object)
new_clip["alpha"]["Points"].append(end_object)
# Video Fade OUT
if clip.video_fade_out:
# Add keyframes
start = openshot.Point(
round((clip.end_time -
clip.video_fade_out_amount) *
fps_float) + 1, 1.0, openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round(clip.end_time * fps_float) + 1, 0.0,
openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip["alpha"]["Points"].append(
start_object)
new_clip["alpha"]["Points"].append(end_object)
# Clear Audio (if needed)
if clip.audio_fade_in or clip.audio_fade_out:
new_clip["volume"]["Points"] = []
else:
p = openshot.Point(1, clip.volume / 100.0,
openshot.BEZIER)
p_object = json.loads(p.Json())
new_clip["volume"] = {"Points": [p_object]}
# Audio Fade IN
if clip.audio_fade_in:
# Add keyframes
start = openshot.Point(
round(clip.start_time * fps_float) + 1,
0.0, openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round((clip.start_time +
clip.video_fade_in_amount) *
fps_float) + 1, clip.volume / 100.0,
openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip["volume"]["Points"].append(
start_object)
new_clip["volume"]["Points"].append(end_object)
# Audio Fade OUT
if clip.audio_fade_out:
# Add keyframes
start = openshot.Point(
round((clip.end_time -
clip.video_fade_out_amount) *
fps_float) + 1, clip.volume / 100.0,
openshot.BEZIER)
start_object = json.loads(start.Json())
end = openshot.Point(
round(clip.end_time * fps_float) + 1, 0.0,
openshot.BEZIER)
end_object = json.loads(end.Json())
new_clip["volume"]["Points"].append(
start_object)
new_clip["volume"]["Points"].append(end_object)
# Save clip
clip_object = Clip()
clip_object.data = new_clip
clip_object.save()
# Loop through transitions
for trans in track.transitions:
# Fix default transition
if not trans.resource or not os.path.exists(
trans.resource):
trans.resource = os.path.join(
info.PATH, "transitions", "common",
"fade.svg")
# Open up QtImageReader for transition Image
transition_reader = openshot.QtImageReader(
trans.resource)
trans_begin_value = 1.0
trans_end_value = -1.0
if trans.reverse:
trans_begin_value = -1.0
trans_end_value = 1.0
brightness = openshot.Keyframe()
brightness.AddPoint(1, trans_begin_value,
openshot.BEZIER)
brightness.AddPoint(
round(trans.length * fps_float) + 1,
trans_end_value, openshot.BEZIER)
contrast = openshot.Keyframe(trans.softness * 10.0)
# Create transition dictionary
transitions_data = {
"id": get_app().project.generate_id(),
"layer": track_counter,
"title": "Transition",
"type": "Mask",
"position": trans.position_on_track,
"start": 0,
"end": trans.length,
"brightness": json.loads(brightness.Json()),
"contrast": json.loads(contrast.Json()),
"reader": json.loads(transition_reader.Json()),
"replace_image": False
}
# Save transition
t = Transition()
t.data = transitions_data
t.save()
# Increment track counter
track_counter += 1
except Exception as ex:
# Error parsing legacy contents
msg = _("Failed to load project file %(path)s: %(error)s" % {
"path": file_path,
"error": ex
})
log.error(msg)
raise Exception(msg)
# Show warning if some files failed to load
if failed_files:
# Throw exception
raise Exception(
_("Failed to load the following files:\n%s" %
", ".join(failed_files)))
# Return mostly empty project_data dict (with just the current version #)
log.info("Successfully loaded legacy project file: %s" % file_path)
return project_data
def setUpClass(cls):
""" Init unit test data """
# Create Qt application
cls.app = QGuiApplication.instance()
cls.clip_ids = []
cls.file_ids = []
cls.transition_ids = []
clips = []
# Insert some clips into the project data
for num in range(5):
# Create clip
c = openshot.Clip(os.path.join(info.IMAGES_PATH, "AboutLogo.png"))
c.Position(num * 10.0)
c.End(5.0)
# Parse JSON
clip_data = json.loads(c.Json())
# Insert into project data
query_clip = Clip()
query_clip.data = clip_data
query_clip.save()
# Keep track of the ids
cls.clip_ids.append(query_clip.id)
clips.append(query_clip)
# Insert some files into the project data
for num in range(5):
# Create file
r = openshot.DummyReader(openshot.Fraction(24, 1), 640, 480, 44100,
2, 30.0)
# Parse JSON
file_data = json.loads(r.Json())
# Insert into project data
query_file = File()
query_file.data = file_data
query_file.data["path"] = os.path.join(info.IMAGES_PATH,
"AboutLogo.png")
query_file.data["media_type"] = "image"
query_file.save()
# Keep track of the ids
cls.file_ids.append(query_file.id)
# Insert some transitions into the project data
for c in clips:
# Create mask object
t = openshot.Mask()
# Place over the last second of current clip
pos = c.data.get("position", 0.0)
start = c.data.get("start", 0.0)
end = c.data.get("end", 0.0)
t.Position((pos - start + end) - 1.0)
t.End(1.0)
# Insert into project data
transitions_data = json.loads(t.Json())
query_transition = Transition()
query_transition.data = transitions_data
query_transition.save()
# Keep track of the ids
cls.transition_ids.append(query_transition.id)
# Don't keep the full query objects around
del clips
