#!/usr/bin/env python
# coding: utf-8

# In[ ]:


import geemap
import os


# In[ ]:


geemap.show_youtube('fDnDVuM_Ke4')


# ## Update the geemap package
# 
# If you run into errors with this notebook, please uncomment the line below to update the [geemap](https://github.com/giswqs/geemap#installation) package to the latest version from GitHub. 
# Restart the Kernel (Menu -> Kernel -> Restart) to take effect.

# In[ ]:


# geemap.update_package()


# ## Add animated text to an existing GIF
# 
# You can download this GIF example from [here](https://github.com/giswqs/geemap/blob/master/examples/data/animation.gif). You can also create GIF images from Earth Engine data using this amazing [LT-GEE Time Series Animator](https://emaprlab.users.earthengine.app/view/lt-gee-time-series-animator), which was created by [Justin Braaten](https://github.com/jdbcode).

# In[ ]:


in_gif = os.path.abspath('../data/animation.gif')
out_gif = os.path.join(os.path.expanduser('~'), 'Downloads/output.gif')


# In[ ]:


geemap.show_image(in_gif)


# ### Add animated text to GIF

# In[ ]:


geemap.add_text_to_gif(in_gif, out_gif, xy=('5%', '5%'), text_sequence=1984, font_size=30, font_color='#0000ff', duration=100)


# In[ ]:


geemap.show_image(out_gif)


# ### Add place name

# In[ ]:


geemap.add_text_to_gif(out_gif, out_gif, xy=('30%', '85%'), text_sequence="Las Vegas", font_color='black')


# In[ ]:


geemap.show_image(out_gif)


# ### Change font type

# In[ ]:


geemap.system_fonts()


# In[ ]:


geemap.add_text_to_gif(in_gif, out_gif, xy=('5%', '5%'), text_sequence=1984, font_size=30, font_color='#0000ff', duration=100)
geemap.add_text_to_gif(out_gif, out_gif, xy=('30%', '85%'), text_sequence="Las Vegas",  font_type="timesbd.ttf", font_size = 30, font_color='black')
geemap.show_image(out_gif)


# ## Create GIF from Earth Engine data
# 
# This example was adapted from the Earth Engine JavaScript API Documentation [here](https://developers.google.com/earth-engine/ic_visualization#video_thumb). 

# ### Prepare for an ImageCollection

# In[ ]:


import ee
import geemap

ee.Initialize()

# Define an area of interest geometry with a global non-polar extent.
aoi = ee.Geometry.Polygon(
  [[[-179.0, 78.0], [-179.0, -58.0], [179.0, -58.0], [179.0, 78.0]]], None, False)

# Import hourly predicted temperature image collection for northern winter
# solstice. Note that predictions extend for 384 hours; limit the collection
# to the first 24 hours.
tempCol = ee.ImageCollection('NOAA/GFS0P25') \
  .filterDate('2018-12-22', '2018-12-23') \
  .limit(24) \
  .select('temperature_2m_above_ground')

# Define arguments for animation function parameters.
videoArgs = {
  'dimensions': 768,
  'region': aoi,
  'framesPerSecond': 10,
  'crs': 'EPSG:3857',
  'min': -40.0,
  'max': 35.0,
  'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red']
}


# ### Save the GIF to local drive

# In[ ]:


saved_gif = os.path.join(os.path.expanduser('~'), 'Downloads/temperature.gif')
geemap.download_ee_video(tempCol, videoArgs, saved_gif)


# In[ ]:


geemap.show_image(saved_gif)


# ### Generate an hourly text sequence

# In[ ]:


text = [str(n).zfill(2) + ":00" for n in range(0, 24)]
print(text)


# ### Add text to GIF

# In[ ]:


out_gif = os.path.join(os.path.expanduser('~'), 'Downloads/output2.gif')


# In[ ]:


geemap.add_text_to_gif(saved_gif, out_gif, xy=('3%', '5%'), text_sequence=text, font_size=30, font_color='#ffffff')


# In[ ]:


geemap.add_text_to_gif(out_gif, out_gif, xy=('32%', '92%'), text_sequence='NOAA GFS Hourly Temperature', font_color='white')


# In[ ]:


geemap.show_image(out_gif)