From f7569b7ba705eec8d184f5475c6afae1a58cdeec Mon Sep 17 00:00:00 2001 From: Liam Arbuckle Date: Sun, 7 Jul 2024 16:19:07 +0200 Subject: [PATCH] =?UTF-8?q?=F0=9F=AA=BA=F0=9F=92=BB=20=E2=86=9D=20[GP-48,?= =?UTF-8?q?=20#47,=20#46,=20GP-34,=20CPW-29]:=20Changing=20snippets=20to?= =?UTF-8?q?=20allow=20for=20updating=20existing=20buckets?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- snippets/assignClouds.py | 37 ------ snippets/base.png | Bin 20869 -> 0 bytes snippets/base/graphsForBaseSet.py | 107 +++++++++++++++++ snippets/clouds/assignClouds.py | 113 ++++++++++++++++++ snippets/graphs/1/binned_light_curves.png | Bin 0 -> 93483 bytes snippets/graphs/1/individual_light_curves.png | Bin 0 -> 159667 bytes snippets/graphs/1/smoothed_light_curves.png | Bin 0 -> 237537 bytes .../1/stitched_and_binned_light_curves.png | Bin 0 -> 205854 bytes snippets/graphs/1/stitched_light_curves.png | Bin 0 -> 180785 bytes snippets/graphs/1/zoomed_light_curves.png | Bin 0 -> 80263 bytes snippets/graphs/2/binned_light_curves.png | Bin 0 -> 28861 bytes snippets/graphs/2/individual_light_curves.png | Bin 0 -> 34811 bytes snippets/graphs/2/smoothed_light_curves.png | Bin 0 -> 34355 bytes .../2/stitched_and_binned_light_curves.png | Bin 0 -> 37179 bytes snippets/graphs/2/stitched_light_curves.png | Bin 0 -> 28197 bytes snippets/graphs/2/zoomed_light_curves.png | Bin 0 -> 77539 bytes snippets/output/binned_light_curves.png | Bin 26584 -> 36297 bytes snippets/output/individual_light_curves.png | Bin 30966 -> 39881 bytes snippets/output/smoothed_light_curves.png | Bin 109719 -> 30320 bytes .../stitched_and_binned_light_curves.png | Bin 25262 -> 37804 bytes snippets/output/stitched_light_curves.png | Bin 22232 -> 29966 bytes snippets/output/zoomed_light_curves.png | Bin 37217 -> 105856 bytes snippets/output_1/binned_light_curves.png | Bin 33115 -> 0 bytes snippets/output_1/individual_light_curves.png | Bin 100847 -> 0 bytes snippets/output_1/smoothed_light_curves.png | Bin 109719 -> 0 bytes .../stitched_and_binned_light_curves.png | Bin 111864 -> 0 bytes snippets/output_1/stitched_light_curves.png | Bin 70060 -> 0 bytes snippets/output_1/zoomed_light_curves.png | Bin 134431 -> 0 bytes .../{ => planets/creation}/createAnomalies.py | 29 ++++- .../creation}/createCurvesAndUpload.py | 0 .../{ => planets/creation}/zoomed_curves.py | 0 snippets/planets/downloadPlanetAnomalies.py | 71 +++++++++++ 32 files changed, 319 insertions(+), 38 deletions(-) delete mode 100644 snippets/assignClouds.py delete mode 100644 snippets/base.png create mode 100644 snippets/base/graphsForBaseSet.py create mode 100644 snippets/clouds/assignClouds.py create mode 100644 snippets/graphs/1/binned_light_curves.png create mode 100644 snippets/graphs/1/individual_light_curves.png create mode 100644 snippets/graphs/1/smoothed_light_curves.png create mode 100644 snippets/graphs/1/stitched_and_binned_light_curves.png create mode 100644 snippets/graphs/1/stitched_light_curves.png create mode 100644 snippets/graphs/1/zoomed_light_curves.png create mode 100644 snippets/graphs/2/binned_light_curves.png create mode 100644 snippets/graphs/2/individual_light_curves.png create mode 100644 snippets/graphs/2/smoothed_light_curves.png create mode 100644 snippets/graphs/2/stitched_and_binned_light_curves.png create mode 100644 snippets/graphs/2/stitched_light_curves.png create mode 100644 snippets/graphs/2/zoomed_light_curves.png delete mode 100644 snippets/output_1/binned_light_curves.png delete mode 100644 snippets/output_1/individual_light_curves.png delete mode 100644 snippets/output_1/smoothed_light_curves.png delete mode 100644 snippets/output_1/stitched_and_binned_light_curves.png delete mode 100644 snippets/output_1/stitched_light_curves.png delete mode 100644 snippets/output_1/zoomed_light_curves.png rename snippets/{ => planets/creation}/createAnomalies.py (80%) rename snippets/{ => planets/creation}/createCurvesAndUpload.py (100%) rename snippets/{ => planets/creation}/zoomed_curves.py (100%) create mode 100644 snippets/planets/downloadPlanetAnomalies.py diff --git a/snippets/assignClouds.py b/snippets/assignClouds.py deleted file mode 100644 index 4eaf9553..00000000 --- a/snippets/assignClouds.py +++ /dev/null @@ -1,37 +0,0 @@ -import os -import random -from supabase import create_client, Client - -# Set up Supabase client -supabase_url = 'https://hlufptwhzkpkkjztimzo.supabase.co' -supabase_key = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImhsdWZwdHdoemtwa2tqenRpbXpvIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTYyOTk3NTUsImV4cCI6MjAzMTg3NTc1NX0.v_NDVWjIU_lJQSPbJ_Y6GkW3axrQWKXfXVsBEAbFv_I' -supabase: Client = create_client(supabase_url, supabase_key) - -# Fetch anomalies with anomalytype 'planet' -anomalies_list = supabase.table("anomalies").select("id").eq("anomalytype", "planet").execute() - -# Get the list of image files from the directory -image_directory = "../anomalies/clouds" -image_files = [f for f in os.listdir(image_directory) if os.path.isfile(os.path.join(image_directory, f))] - -# Define a function to upload image to Supabase storage -def upload_to_supabase(filepath, bucket_name, folder_name, file_name): - with open(filepath, 'rb') as f: - supabase.storage.from_(bucket_name).upload(f"{folder_name}/{file_name}", f.read(), file_options={"content-type": "image/png"}) - -# Process each image file -for image_file in image_files: - # Randomly select an anomaly - anomaly = random.choice(anomalies_list.data) - anomaly_id = anomaly['id'] - - # Define folder names - folder_name = f"{anomaly_id}/clouds" - - # Define full file path - file_path = os.path.join(image_directory, image_file) - - # Upload the image file to Supabase storage - upload_to_supabase(file_path, 'anomalies', folder_name, image_file) - - print(f"Uploaded {image_file} to folder {folder_name} in Supabase storage.") \ No newline at end of file diff --git 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Check if the file already exists in the bucket + existing_files = supabase.storage.from_(bucket_name).list(folder_name) + if file_name in [file['name'] for file in existing_files]: + print(f"Skipping upload for {file_name} as it already exists.") + return + + with open(filepath, 'rb') as f: + supabase.storage.from_(bucket_name).upload(f"{folder_name}/{file_name}", f.read(), file_options={"content-type": "image/png"}) + +# Function to generate light curves and save plots +def generate_lightcurves(tic_id, output_dir): + # Search for lightcurve data + sector_data = lk.search_lightcurve(tic_id, author='SPOC') + select_sector = sector_data[0:4] + lc_collection = select_sector.download_all() + + # Plot individual light curves + fig1, ax1 = plt.subplots() + lc = select_sector.download_all() + lc.plot(ax=ax1, linewidth=0, marker='.', markersize=1, color='midnightblue', alpha=0.3) + fig1.savefig(os.path.join(output_dir, 'individual_light_curves.png')) + plt.close(fig1) + + # Stitch the light curves + lc_collection_stitched = lc_collection.stitch() + fig2, ax2 = plt.subplots() + lc_collection_stitched.plot(ax=ax2, linewidth=0, marker='.', markersize=1, color='midnightblue', alpha=0.3) + fig2.savefig(os.path.join(output_dir, 'stitched_light_curves.png')) + plt.close(fig2) + + # Bin the light curves with a larger bin time + bin_time = 15 / 24 / 60 # 15-minute binning + lc_collection_binned = lc_collection_stitched.bin(bin_time) + fig3, ax3 = plt.subplots() + lc_collection_binned.plot(ax=ax3, linewidth=0, marker='o', markersize=4, color='red', alpha=0.7) + fig3.savefig(os.path.join(output_dir, 'binned_light_curves.png')) + plt.close(fig3) + + # Plot stitched and binned light curves together + fig4, ax4 = plt.subplots(figsize=(10, 5)) + lc_collection_stitched.plot(ax=ax4, linewidth=0, marker='.', markersize=1, color='midnightblue', alpha=0.3, label='Unbinned') + lc_collection_binned.plot(ax=ax4, linewidth=0, marker='o', markersize=4, color='red', alpha=0.7, label='Binned') + ax4.legend() + fig4.savefig(os.path.join(output_dir, 'stitched_and_binned_light_curves.png')) + plt.close(fig4) + + # Zoom in on a specific time range to highlight transits + fig5, ax5 = plt.subplots(figsize=(10, 5)) + lc_collection_stitched.plot(ax=ax5, linewidth=0, marker='.', markersize=1, color='midnightblue', alpha=0.3, label='Unbinned') + lc_collection_binned.plot(ax=ax5, linewidth=0, marker='o', markersize=4, color='red', alpha=0.7, label='Binned') + ax5.set_xlim(lc_collection_stitched.time.min().value, lc_collection_stitched.time.min().value + 5) # Adjust zoom range here + ax5.legend() + fig5.savefig(os.path.join(output_dir, 'zoomed_light_curves.png')) + plt.close(fig5) + + # Apply a smoothing filter to the light curve + smoothed_lc = lc_collection_stitched.flatten(window_length=301) + fig6, ax6 = plt.subplots(figsize=(10, 5)) + smoothed_lc.plot(ax=ax6, linewidth=0, marker='.', markersize=1, color='midnightblue', alpha=0.3, label='Smoothed') + fig6.savefig(os.path.join(output_dir, 'smoothed_light_curves.png')) + plt.close(fig6) + +# Function to process each TIC ID, generate graphs, and upload to Supabase +def process_and_upload(tic_id, anomaly_id): + output_dir = os.path.join(local_folder, str(anomaly_id)) + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + generate_lightcurves(tic_id, output_dir) + + for filename in os.listdir(output_dir): + file_path = os.path.join(output_dir, filename) + if os.path.isfile(file_path): + upload_to_supabase(file_path, 'anomalies', str(anomaly_id), filename) + + print(f"Processed TIC ID {tic_id}, Anomaly ID: {anomaly_id}") + +# Main function +def main(): + tic_ids = ['KIC 8692861', 'KIC 8120608', 'KIC 4138008', 'KIC 10593636', 'EPIC 246199087', 'TIC 150428135'] + anomaly_ids = [1, 2, 3, 4, 5, 6] + + if os.path.exists(local_folder): + shutil.rmtree(local_folder) + os.makedirs(local_folder) + + for tic_id, anomaly_id in zip(tic_ids, anomaly_ids): + process_and_upload(tic_id, anomaly_id) + +if __name__ == "__main__": + main() diff --git a/snippets/clouds/assignClouds.py b/snippets/clouds/assignClouds.py new file mode 100644 index 00000000..0c9af943 --- /dev/null +++ b/snippets/clouds/assignClouds.py @@ -0,0 +1,113 @@ +import os +import random +import time +from supabase import create_client, Client + +# Set up Supabase client +supabase_url = 'https://hlufptwhzkpkkjztimzo.supabase.co' +supabase_key = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImhsdWZwdHdoemtwa2tqenRpbXpvIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTYyOTk3NTUsImV4cCI6MjAzMTg3NTc1NX0.v_NDVWjIU_lJQSPbJ_Y6GkW3axrQWKXfXVsBEAbFv_I' +supabase: Client = create_client(supabase_url, supabase_key) + +# Get the list of image files from the directory +image_directory = "../anomalies/clouds" +image_files = [f for f in os.listdir(image_directory) if os.path.isfile(os.path.join(image_directory, f))] + +# Define a function to upload image to Supabase storage +def upload_to_supabase(filepath, bucket_name, folder_name, file_name, retries=3): + for attempt in range(retries): + try: + # Check if the file already exists in the bucket + existing_files = supabase.storage.from_(bucket_name).list(folder_name) + existing_file_names = [file['name'] for file in existing_files] + if file_name in existing_file_names: + print(f"File {file_name} already exists in {folder_name}. Trying a different folder.") + raise FileExistsError("File already exists") # Trigger an exception to try a different folder + + # Upload the file + with open(filepath, 'rb') as f: + supabase.storage.from_(bucket_name).upload(f"{folder_name}/{file_name}", f.read(), file_options={"content-type": "image/png"}) + print(f"Uploaded {file_name} to folder {folder_name} in Supabase storage.") + break # Exit loop if upload is successful + + except FileExistsError: + # Generate a new folder name to avoid conflicts + new_anomaly_id = random.choice(anomaly_ids) + new_folder_name = f"{new_anomaly_id}/clouds" + print(f"Retrying with a new folder {new_folder_name} for file {file_name}.") + folder_name = new_folder_name # Update folder name for retry + + except Exception as e: + print(f"Error during upload: {e}. Retrying ({attempt + 1}/{retries})...") + if attempt == retries - 1: + print(f"Failed to upload {file_name} after {retries} attempts.") + else: + time.sleep(2) # Wait before retrying + +# Fetch anomalies with anomalytype 'planet' +anomalies_list = supabase.table("anomalies").select("id").eq("anomalytype", "planet").execute() +anomaly_ids = [anomaly['id'] for anomaly in anomalies_list.data] + +# Get existing folders from the `anomalies` bucket +def list_folders(bucket_name): + """List all folders in the given bucket.""" + folders = [] + response = supabase.storage.from_(bucket_name).list("") # List all items in the bucket + items = response + for item in items: + path_parts = item['name'].split('/') + if len(path_parts) > 1 and path_parts[1] == 'clouds': + continue # Skip paths already under a clouds folder + if len(path_parts) == 1 and path_parts[0].isdigit(): # Check if it's a folder with an ID + folders.append(path_parts[0]) + return folders + +# Identify folders that do not have a `clouds` directory +def identify_folders_without_clouds(bucket_name): + """Identify folders without a `clouds` directory.""" + folders = list_folders(bucket_name) + folders_without_clouds = [] + for folder in folders: + clouds_dir_exists = any(clouds_dir['name'] == f"{folder}/clouds" for clouds_dir in supabase.storage.from_(bucket_name).list(folder)) + if not clouds_dir_exists: + folders_without_clouds.append(folder) + return folders_without_clouds + +folders_without_clouds = identify_folders_without_clouds('anomalies') + +# Define a function to upload images to folders that do not have a `clouds` directory +def upload_to_folders_without_clouds(image_files, folders): + """Upload images to folders that do not have a `clouds` directory.""" + for image_file in image_files: + for folder in folders: + file_path = os.path.join(image_directory, image_file) + folder_name = f"{folder}/clouds" + upload_to_supabase(file_path, 'anomalies', folder_name, image_file) + break # Ensure that we only upload to one folder per image + +# Upload images to folders that do not have a `clouds` directory +upload_to_folders_without_clouds(image_files, folders_without_clouds) + +# Upload remaining images to existing `clouds` directories or new folders +def upload_to_existing_or_new_folders(image_files): + """Upload images to existing or new folders.""" + for image_file in image_files: + file_path = os.path.join(image_directory, image_file) + for _ in range(5): # Retry up to 5 times to find a folder + # Randomly select an anomaly + anomaly_id = random.choice(anomaly_ids) + + # Define folder names + folder_name = f"{anomaly_id}/clouds" + + # Try to upload the image file to Supabase storage + try: + upload_to_supabase(file_path, 'anomalies', folder_name, image_file) + break # Exit loop if upload is successful + except Exception as e: + print(f"Error during upload to {folder_name}: {e}") + time.sleep(2) # Wait before retrying + else: + print(f"Failed to upload {image_file} after several attempts.") + +# Upload remaining images to existing or new folders +upload_to_existing_or_new_folders(image_files) \ No newline at end of file diff --git a/snippets/graphs/1/binned_light_curves.png b/snippets/graphs/1/binned_light_curves.png new file mode 100644 index 0000000000000000000000000000000000000000..80fbc1a860142cc173c55535da75fac377e31c2a GIT binary patch literal 93483 zcmeFYWmFtp(=Lola3?r}CAhmJxD(tR0tA=f5+t|{?k<4@2o@l?yIXK~cZbuH=f0os zyl1WR_xpABS}X>pd-v|zS5;kAyDIF1q7>RIqE}E*P-rsJ;wn&3FkhgcpjVL)fd6of zFKziu<#I-$_e<2`W_fhe8mS{2=8A1FcQNj1+0yHU4Hl^c7MbD=Ww(AdeL$AfWFZ zHm&OyIBe{=*n;ZVvc~x3o3j1qXLldxk!Bz3qx~r1lZ&ZIef7Fyp_@hLmWwR=E3G8+ zF#mr>dy2nXJ+aZhgSCbgZmjJ;!zi*H^BwGeMj#u47!(@ne?|`>Dl{kSe+HrH|GVM; zN$LMrXiNk*Lg&9;bI?L3<)`N3<6A#-4{qc`_|I@`t75dWwN0$5Vn6fjEn*(RY=d4M z%N1j{nkZPa3;qx4-(&x2^=p;S;B~A|XJcfAbAamW@5jPI%~@PrG`5TS=ORH%D=V-} zJT0kyZ!ZWHngq)7dU$x4>mU6vN-$<@w2xBgtov7!2!koV{Id!KQ`BH6BEtWSNH#+9 zzj_oHG(J8~85I?UjUE!x_!a>{YVFFiFem37I|m2wHx=1G_jE-$@G>fiJk>Ov^$>S1 z;lc)n@@_(y7Yo8zVP z4iuKq(7qj!mpfy-@xHJBEX^@DKY!!Roo>CungdU7TN|Egu_7K8n83jOJ#)h*wkdiv zR6a2mM72XvfQ5oU>^}FG#&%);?_C@sorZ`mL;jt}ADX=9(3*9ko$XUV0;uzU*MSXK zOC#2_587|5OukC1CrW!X^sRS;@bEg9=wSnuzsfN;P;avtzTD56k7V#UJzdQX^0eM5 z@E!c9j`p?CPHMWIw?4mVebK)@USbdu5>io70iobC#>%lYtA&S$>y3J>wn5(w8a{*4 zxozX-=XLr=N0U{Rgw)IH*I)Gy4hncKlDaKYo;2TN9q=VF>(i4z{OQdjyBQP1=r53o z7Z)%1^-H6?_4(encPN8T^|)atEB~aT@tB{_`}XGn*GbER9pCfqhJ^U$ve!xC(L$Y^ zm{?#zVPXGNiRzYf_CrR7)4<#ERy?e`H4MKu_APfsdd|aK=X*+i_q#hR&6ja%8X5!3 z&0d9#jk>f-S&Z3FhZb9r93wxUTAG{neJ|2iq|MC>UEJIT9eYXXcorQ39VG}UASRWN z>Dv$7hAR#5_D66A2{@5KV%bA#v*iI5nUhr-%5BA`?&xWvP;M(e`>`Oy=Xy>`B%Reb zz~%GjtA{dkZKqM8o4zzI>&>Q%k@!*XZH_oFnDXJ~Bstl@Q|8mBPn#mo8zOoYjgA|V zb5-UMdhTmq*=^@JA#eS7?A97ToX#@{iy=ti+iEB-p2VmPA|)mLwIclTc%h=L{nmMB zq}Io`1DUR`cGkf9;YUG1!Afn#?|u4I4vUfTo7b;j|2k>CDzlfdx34&=?j`rrLnq;- z=q2+y93S=c^4gk^V}U5;-rgQq)4)UGxamUiZal`9nl8)Tr1hZOu+`v~{mSt?xsuRT z0z|;)VM^Yj0qr@D8{{vsFOQ=y3A%O-5+ed9P5He`J~vA$>gqJJdd^XsJ3E8fFOL>? 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z&+$ul+6e6S+`4h&!q1;O-<0hJX0@kZtAy{#zALcUvSY^zV2%e47G$QTx-JaRNOV+` zj9VWr*6q4;=gzFWyf8PnHZwD`DO0C@JuC?vO8E6jwQ$;l@4&m~BSKC;oUMwuEKetb4H zOW#JWUrtW$%FUZIKh&nBE&EfqA2_oR8X38A?ONTn>({H7o@Z#Vza9Uv!scInJPQNE zkFP&!>{^`^W##1Ryy}3y12!3eqdQ+Tf4<+kd9(8L(@P61{yaPR{eE#_;X+_50yw4u zJRZIF94iw;U8K(iMur2sWo2bgrWn(;GFde4E=Lt6U!|Cg+0X86N5V*xWmLwTp$;x4zvlm6XQ$}^j7ud;pDuBeR> zKETF4FqQnCaHd~?gXPJ`ij>VafkW@h_UzfS 0 + # Function to insert a new anomaly and get its ID def insert_anomaly(tic_id): + if anomaly_exists(tic_id): + print(f"Anomaly for {tic_id} already exists. Skipping...") + match = re.search(r'\d+', tic_id) + tic_id_numeric = int(match.group()) if match else None + return tic_id_numeric + # Extract the numeric part of the TIC ID for use as the id match = re.search(r'\d+', tic_id) tic_id_numeric = int(match.group()) if match else None @@ -109,6 +132,10 @@ def main(tic_ids): os.makedirs(output_dir) for tic_id in tic_ids: + if anomaly_exists(tic_id): + print(f"Anomaly for {tic_id} already exists. Skipping...") + continue + anomaly_id = insert_anomaly(tic_id) anomaly_folder = str(anomaly_id) @@ -121,5 +148,5 @@ def main(tic_ids): print(f"Processed TIC ID {tic_id}, Anomaly ID: {anomaly_id}") if __name__ == "__main__": - tic_ids_list = ['TIC 50365310', 'TIC 88863718'] + tic_ids_list = ['TIC 50365310', 'TIC 88863718', 'TIC 124709665', 'TIC 106997505', 'TIC 238597883', 'TIC 169904935', 'TIC 156115721', 'TIC 65212867', 'TIC 440801822'] main(tic_ids_list) diff --git a/snippets/createCurvesAndUpload.py b/snippets/planets/creation/createCurvesAndUpload.py similarity index 100% rename from snippets/createCurvesAndUpload.py rename to snippets/planets/creation/createCurvesAndUpload.py diff --git a/snippets/zoomed_curves.py b/snippets/planets/creation/zoomed_curves.py similarity index 100% rename from snippets/zoomed_curves.py rename to snippets/planets/creation/zoomed_curves.py diff --git a/snippets/planets/downloadPlanetAnomalies.py b/snippets/planets/downloadPlanetAnomalies.py new file mode 100644 index 00000000..c28ee29a --- /dev/null +++ b/snippets/planets/downloadPlanetAnomalies.py @@ -0,0 +1,71 @@ +import os +import requests +from supabase import create_client, Client +import logging + +# Initialize Supabase client +supabase_url = 'https://hlufptwhzkpkkjztimzo.supabase.co' +supabase_key = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImhsdWZwdHdoemtwa2tqenRpbXpvIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTYyOTk3NTUsImV4cCI6MjAzMTg3NTc1NX0.v_NDVWjIU_lJQSPbJ_Y6GkW3axrQWKXfXVsBEAbFv_I' +supabase: Client = create_client(supabase_url, supabase_key) + +# Define the initial folder path +initial_folder = '../anomalies/planets' + +# Ensure the initial folder exists +if not os.path.exists(initial_folder): + os.makedirs(initial_folder) + +# Set up logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Base URL for public access to the storage bucket +public_base_url = f'{supabase_url}/storage/v1/object/public/anomalies/' + +# Function to download images from Supabase storage and save them to the local file system +def download_images_from_supabase(): + offset = 0 + while True: + try: + # List objects in the 'anomalies' bucket with pagination + files = supabase.storage.from_('anomalies').list('', {'limit': 1000, 'offset': offset}) + if not files: + logger.info("No more files to download.") + break + except Exception as e: + logger.error(f"Error listing files from Supabase: {e}") + break + + for file in files: + file_path = file['name'] + anomaly_id = file_path.split('/')[0] # Extract the anomaly ID from the file path + file_name = file_path.split('/')[-1] # Extract the file name + + # Create a directory for the anomaly ID if it doesn't exist + anomaly_folder = os.path.join(initial_folder, anomaly_id) + if not os.path.exists(anomaly_folder): + os.makedirs(anomaly_folder) + + # Construct the public URL for the file + public_file_url = f'{public_base_url}{file_path}' + local_file_path = os.path.join(anomaly_folder, file_name) + + try: + # Download the file from Supabase storage + response = requests.get(public_file_url) + response.raise_for_status() # Check for HTTP errors + + # Save the file to the local directory + with open(local_file_path, 'wb') as f: + f.write(response.content) + + logger.info(f"Downloaded {file_name} to {local_file_path}") + + except requests.RequestException as e: + logger.error(f"Error downloading {file_path}: {e}") + + offset += 1000 + +# Run the download function +if __name__ == "__main__": + download_images_from_supabase()

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