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Runtime error
Runtime error
Sharfy
commited on
Commit
Β·
8907dd8
1
Parent(s):
4f9da92
It be done
Browse files- bot.py +53 -85
- redis2sheets.py +28 -0
- sql2redis.py +4 -4
bot.py
CHANGED
@@ -7,14 +7,14 @@ import os
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def generate_id(key):
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return r.incr(key)
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def generate_progress_bar(num_labels, width=20):
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print(num_labels)
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percentage = int(int(num_labels) /
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completed_blocks = int(percentage * width / 100)
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remaining_blocks = width - completed_blocks
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progress_bar = 'β' * completed_blocks + 'β' * remaining_blocks
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percentage_text = f' {num_labels}/
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return f'π {progress_bar} {percentage_text}'
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@@ -25,7 +25,7 @@ r = redis.from_url(redis_url)
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r.set('species_identified', 0)
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def
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# add 1 to the number of species identified
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value = r.get(b'species_identified').decode('utf-8')
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r.set(b'species_identified', int(value) + 1)
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@@ -38,11 +38,14 @@ def improve_player_stats(ctx):
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if not r.exists(role_key):
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r.set(role_key, 'Naturalist')
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-
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if not r.exists(
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r.set(
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r.set(xp_key, int(r.get(xp_key)) + 10)
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bot = discord.Bot()
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@@ -103,7 +106,9 @@ async def image(ctx, id):
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Image Observation {id} - Task", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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-
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path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{image_data["awsCID"]}'
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embed.set_image(url=path)
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await ctx.respond(embed=embed)
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@@ -127,19 +132,21 @@ def get_conf_score(confidence: str):
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options=[
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Option(name="id", description="The ID of the image"),
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Option(name="label", description="The label for the image"),
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Option(name="confidence", description="Choose your confidence", autocomplete=confAutocomplete)
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])
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async def label_image(ctx, id:int, label:str, confidence: str):
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conf_score = get_conf_score(confidence)
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'confidence', conf_score)
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r.hset(f'image:{id}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'image:{id}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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# Fetch the image data from Redis
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image_data_bytes = r.hgetall(f'image:{id}'.encode('utf-8'))
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image_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in image_data_bytes.items()}
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@@ -149,13 +156,12 @@ async def label_image(ctx, id:int, label:str, confidence: str):
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Image Observation {id} - New Label π", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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embed.add_field(name="
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embed.add_field(name="Proposed by", value=image_data['author'], inline=True)
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path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{image_data["awsCID"]}'
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embed.set_image(url=path)
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improve_player_stats(ctx)
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await ctx.respond(f"{ctx.author.mention} labeled observation **{id}** as **{label}** π (Earned 10 XP)", embed=embed)
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@bot.command(description="Get progress bar.")
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@@ -174,14 +180,12 @@ async def sound(ctx, id): # a slash command will be created with the name "ping"
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Sound Observation {id} - Task", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=sound_data['sensor'], inline=True)
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embed.add_field(name="
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embed.add_field(name="Proposed by", value=sound_data['author'], inline=True)
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embed.add_field(name="Timestamp", value=sound_data['
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sound = discord.File(f)
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message = await ctx.respond(file=sound, embed=embed)
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print('The ID of the message is:', message.id)
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@bot.command(
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description="Label sound observation",
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@@ -189,77 +193,37 @@ async def sound(ctx, id): # a slash command will be created with the name "ping"
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Option(name="id", description="The ID of the sound"),
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Option(name="label", description="The label for the sound"),
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Option(name="timestamp", description="The timestamp of the observation"),
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])
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async def label_sound(ctx, id:int, label:str, timestamp:str):
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r.hset(f'sound:{id}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'sound:{id}'.encode('utf-8'), b'
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r.hset(f'sound:{id}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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# Fetch the sound data from Redis
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sound_data_bytes = r.hgetall(f'sound:{id}'.encode('utf-8'))
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sound_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in sound_data_bytes.items()}
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# Create an embed
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Sound Observation {id} - New Label π", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=sound_data['sensor'], inline=True)
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embed.add_field(name="
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embed.add_field(name="Proposed by", value=sound_data['author'], inline=True)
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embed.add_field(name="
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with open(sound_data['path'], 'rb') as f:
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sound = discord.File(f)
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await ctx.respond(f"{ctx.author.mention} labeled sound observation **{id}** as **{label}** at **{timestamp}** π (Earned 10 XP)", file=sound, embed=embed)
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@bot.command(
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description="List all unlabeled sound observations"
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)
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async def list_unlabeled_sound(ctx):
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unlabeled_ids = []
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# Fetch all the sound data from Redis
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keys = r.keys('sound:*'.encode('utf-8'))
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for key in keys:
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sound_data_bytes = r.hgetall(key)
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sound_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in sound_data_bytes.items()}
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if 'β' == sound_data['label']:
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unlabeled_ids = unlabeled_ids + [key.decode('utf-8')]
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# Create an embed
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Unlabeled Sound Observations", icon_url=ctx.author.display_avatar.url)
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for id in unlabeled_ids:
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embed.add_field(name=f"{id}", value="β", inline=True)
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await ctx.respond(embed=embed)
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@bot.command(
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description="List all unlabeled image observations"
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)
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async def list_unlabeled_image(ctx):
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unlabeled_ids = []
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# Fetch all the image data from Redis
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keys = r.keys('image:*'.encode('utf-8'))
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for key in keys:
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image_data_bytes = r.hgetall(key)
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image_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in image_data_bytes.items()}
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if 'β' == image_data['label']:
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unlabeled_ids = unlabeled_ids + [key.decode('utf-8')]
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# Create an embed
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Unlabeled Image Observations", icon_url=ctx.author.display_avatar.url)
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for id in unlabeled_ids:
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embed.add_field(name=f"{id}", value="β", inline=True)
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await ctx.respond(embed=embed)
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@bot.command(
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description="Check your profile"
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@@ -273,15 +237,19 @@ async def profile(ctx):
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if not r.exists(role_key):
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r.set(role_key, 'NATURALIST')
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if not r.exists(
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r.set(
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# Create an embed
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"{ctx.author.name} - Profile", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="**PROGRESS**", value=f"**Level**: 1\n**XP**: {r.get(xp_key).decode()}/1000\n", inline=False)
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embed.add_field(name="**STATS**", value=f"
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embed.set_thumbnail(url=ctx.author.display_avatar.url)
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embed.set_footer(text=f"π RANK: {r.get(role_key).decode()}")
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await ctx.respond(embed=embed)
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def generate_id(key):
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return r.incr(key)
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def generate_progress_bar(num_labels, width=20, n=300):
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print(num_labels)
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percentage = int(int(num_labels) / n * 100)
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completed_blocks = int(percentage * width / 100)
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remaining_blocks = width - completed_blocks
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progress_bar = 'β' * completed_blocks + 'β' * remaining_blocks
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percentage_text = f' {num_labels}/{n} identified π¦π± '
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return f'π {progress_bar} {percentage_text}'
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r.set('species_identified', 0)
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def improve_player_stats_image(ctx):
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# add 1 to the number of species identified
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value = r.get(b'species_identified').decode('utf-8')
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r.set(b'species_identified', int(value) + 1)
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if not r.exists(role_key):
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r.set(role_key, 'Naturalist')
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img_oc_key = f'{ctx.author.name}:image'.encode('utf-8')
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if not r.exists(img_oc_key):
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r.set(img_oc_key, 0)
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r.set(xp_key, int(r.get(xp_key)) + 10)
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r.set(img_oc_key, int(r.get(img_oc_key)) + 1)
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bot = discord.Bot()
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Image Observation {id} - Task", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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embed.add_field(name="Recorded at", value=image_data['timestamp'], inline=True)
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embed.add_field(name="Recent Label", value=image_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=image_data['author'], inline=True)
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path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{image_data["awsCID"]}'
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embed.set_image(url=path)
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await ctx.respond(embed=embed)
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options=[
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Option(name="id", description="The ID of the image"),
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Option(name="label", description="The label for the image"),
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Option(name="confidence", description="Choose your confidence: high, medium, low", autocomplete=confAutocomplete)
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])
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async def label_image(ctx, id:int, label:str, confidence: str):
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improve_player_stats_image(ctx)
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label_cnt = generate_id(f'cnt:label:image:{id}')
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r.hset(f'label:image:{id}:{label_cnt}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'label:image:{id}:{label_cnt}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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conf_score = get_conf_score(confidence)
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r.hset(f'label:image:{id}:{label_cnt}'.encode('utf-8'), b'confidence', conf_score)
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r.hset(f'image:{id}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'image:{id}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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# Fetch the image data from Redis
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image_data_bytes = r.hgetall(f'image:{id}'.encode('utf-8'))
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image_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in image_data_bytes.items()}
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Image Observation {id} - New Label π", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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embed.add_field(name="Recorded at", value=image_data['timestamp'], inline=True)
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embed.add_field(name="Recent Label", value=image_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=image_data['author'], inline=True)
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path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{image_data["awsCID"]}'
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embed.set_image(url=path)
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await ctx.respond(f"{ctx.author.mention} labeled observation **{id}** as **{label}** π (Earned 10 XP)", embed=embed)
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@bot.command(description="Get progress bar.")
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Sound Observation {id} - Task", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=sound_data['sensor'], inline=True)
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embed.add_field(name="Recorded at", value=sound_data['timestamp'], inline=True)
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embed.add_field(name="Recent Label", value=sound_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=sound_data['author'], inline=True)
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embed.add_field(name="Detected at Timestamp", value=sound_data['label_at'], inline=True)
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await ctx.respond(f'Please listen to the sound here:\nhttps://gainforest.app/observations/{sound_data["uuid"]} π¦π΅', embed=embed)
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@bot.command(
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description="Label sound observation",
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Option(name="id", description="The ID of the sound"),
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Option(name="label", description="The label for the sound"),
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Option(name="timestamp", description="The timestamp of the observation"),
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Option(name="confidence", description="Choose your confidence: high, medium, low", autocomplete=confAutocomplete)
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])
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async def label_sound(ctx, id:int, label:str, timestamp:str, confidence: str):
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sound_cnt = generate_id(f'cnt:label:sound:{id}')
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r.hset(f'label:sound:{id}:{sound_cnt}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'label:sound:{id}:{sound_cnt}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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r.hset(f'label:sound:{id}:{sound_cnt}'.encode('utf-8'), b'label_at', timestamp.encode('utf-8'))
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conf_score = get_conf_score(confidence)
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r.hset(f'label:sound:{id}:{sound_cnt}'.encode('utf-8'), b'confidence', conf_score)
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r.hset(f'sound:{id}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'sound:{id}'.encode('utf-8'), b'label_at', timestamp.encode('utf-8'))
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r.hset(f'sound:{id}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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# Fetch the sound data from Redis
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sound_data_bytes = r.hgetall(f'sound:{id}'.encode('utf-8'))
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sound_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in sound_data_bytes.items()}
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print(sound_data)
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# Create an embed
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embed = discord.Embed(color=discord.Colour.blurple())
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embed.set_author(name=f"Sound Observation {id} - New Label π", icon_url=ctx.author.display_avatar.url)
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embed.add_field(name="Sensor", value=sound_data['sensor'], inline=True)
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embed.add_field(name="Recorded at", value=sound_data['timestamp'], inline=True)
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embed.add_field(name="Recent Label", value=sound_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=sound_data['author'], inline=True)
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embed.add_field(name="Detected at Timestamp", value=sound_data['label_at'], inline=True)
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await ctx.respond(f'{ctx.author.mention} labeled sound observation **{id}** as **{label}** at **{timestamp}** π (Earned 10 XP).\nListen here:\nhttps://gainforest.app/observations/{sound_data["uuid"]} π¦π΅', embed=embed)
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@bot.command(
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description="Check your profile"
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if not r.exists(role_key):
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r.set(role_key, 'NATURALIST')
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+
img_oc_key = f'{ctx.author.name}:image'.encode('utf-8')
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if not r.exists(img_oc_key):
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242 |
+
r.set(img_oc_key, 0)
|
243 |
+
|
244 |
+
s_oc_key = f'{ctx.author.name}:sound'.encode('utf-8')
|
245 |
+
if not r.exists(s_oc_key):
|
246 |
+
r.set(s_oc_key, 0)
|
247 |
|
248 |
# Create an embed
|
249 |
embed = discord.Embed(color=discord.Colour.blurple())
|
250 |
embed.set_author(name=f"{ctx.author.name} - Profile", icon_url=ctx.author.display_avatar.url)
|
251 |
embed.add_field(name="**PROGRESS**", value=f"**Level**: 1\n**XP**: {r.get(xp_key).decode()}/1000\n", inline=False)
|
252 |
+
embed.add_field(name="**STATS**", value=f"**π± Images labeled**: {r.get(img_oc_key).decode()}", inline=False)
|
253 |
embed.set_thumbnail(url=ctx.author.display_avatar.url)
|
254 |
embed.set_footer(text=f"π RANK: {r.get(role_key).decode()}")
|
255 |
await ctx.respond(embed=embed)
|
redis2sheets.py
ADDED
@@ -0,0 +1,28 @@
|
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|
|
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|
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|
|
|
|
|
|
|
1 |
+
import redis
|
2 |
+
import gspread
|
3 |
+
|
4 |
+
redis_url = 'redis://default:[email protected]:7369'
|
5 |
+
r = redis.from_url(redis_url)
|
6 |
+
|
7 |
+
gc = gspread.service_account()
|
8 |
+
|
9 |
+
# Open a sheet from a spreadsheet in one go
|
10 |
+
wks = gc.open("Labels").sheet1
|
11 |
+
|
12 |
+
rows = [['image id', 'label id', 'author', 'label', 'confidence (0 = low, 1 = medium, 2 = high)', 'image url', 'dashboard url', 'image preview']]
|
13 |
+
|
14 |
+
redis_keys = r.keys('label:image:*')
|
15 |
+
for i_key in redis_keys:
|
16 |
+
image_data_bytes = r.hgetall(i_key)
|
17 |
+
image_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in image_data_bytes.items()}
|
18 |
+
image_id = i_key.decode().split(':')[-2]
|
19 |
+
raw_image_data_bytes = r.hgetall(f'image:{image_id}'.encode('utf-8'))
|
20 |
+
raw_image_data = {k.decode('utf-8'): v.decode('utf-8') for k, v in raw_image_data_bytes.items()}
|
21 |
+
path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{raw_image_data["awsCID"]}'
|
22 |
+
dashboard_url = f'https://gainforest.app/observations/{raw_image_data["uuid"]}'
|
23 |
+
row = [image_id, i_key.decode().split(':')[-1], image_data['author'], image_data['label'], image_data['confidence'], path, dashboard_url,'=IMAGE("{}", 2)'.format(path)]
|
24 |
+
rows.append(row)
|
25 |
+
|
26 |
+
# Update a range of cells using the top left corner address
|
27 |
+
wks.update('A1', rows, value_input_option='USER_ENTERED')
|
28 |
+
wks.format('A1:I1', {'textFormat': {'bold': True}})
|
sql2redis.py
CHANGED
@@ -36,7 +36,7 @@ def get_all_images():
|
|
36 |
# Fetch all the data returned by the database
|
37 |
rows = cur.fetchall()
|
38 |
for row in rows:
|
39 |
-
image_cnt = generate_id('
|
40 |
# Set multiple field-value pairs using HMSET
|
41 |
fields_values = {
|
42 |
'uuid': row[0],
|
@@ -65,7 +65,7 @@ def get_all_images():
|
|
65 |
|
66 |
# Store labels and confidences in Redis using HMSET
|
67 |
for label, confidence in zip(labels, confidences):
|
68 |
-
pred_cnt = generate_id(f'prediction:{image_cnt}')
|
69 |
fields_values = {
|
70 |
'label': label,
|
71 |
'confidence': confidence,
|
@@ -94,7 +94,7 @@ def get_all_sounds():
|
|
94 |
# Fetch all the data returned by the database
|
95 |
rows = cur.fetchall()
|
96 |
for row in rows:
|
97 |
-
sound_cnt = generate_id('
|
98 |
# Set multiple field-value pairs using HMSET
|
99 |
fields_values = {
|
100 |
'uuid': row[0],
|
@@ -122,4 +122,4 @@ def generate_id(key):
|
|
122 |
|
123 |
r.flushdb()
|
124 |
get_all_images()
|
125 |
-
get_all_sounds()
|
|
|
36 |
# Fetch all the data returned by the database
|
37 |
rows = cur.fetchall()
|
38 |
for row in rows:
|
39 |
+
image_cnt = generate_id('cnt:image')
|
40 |
# Set multiple field-value pairs using HMSET
|
41 |
fields_values = {
|
42 |
'uuid': row[0],
|
|
|
65 |
|
66 |
# Store labels and confidences in Redis using HMSET
|
67 |
for label, confidence in zip(labels, confidences):
|
68 |
+
pred_cnt = generate_id(f'cnt:prediction:{image_cnt}')
|
69 |
fields_values = {
|
70 |
'label': label,
|
71 |
'confidence': confidence,
|
|
|
94 |
# Fetch all the data returned by the database
|
95 |
rows = cur.fetchall()
|
96 |
for row in rows:
|
97 |
+
sound_cnt = generate_id('cnt:sound')
|
98 |
# Set multiple field-value pairs using HMSET
|
99 |
fields_values = {
|
100 |
'uuid': row[0],
|
|
|
122 |
|
123 |
r.flushdb()
|
124 |
get_all_images()
|
125 |
+
get_all_sounds()
|